Overview

Dataset statistics

Number of variables35
Number of observations1000
Missing cells12254
Missing cells (%)35.0%
Total size in memory8.1 MiB
Average record size in memory8.3 KiB

Variable types

Numeric1
Text31
URL3

Alerts

program_code has 570 (57.0%) missing valuesMissing
program_acronym has 489 (48.9%) missing valuesMissing
age_group has 838 (83.8%) missing valuesMissing
heads_up has 26 (2.6%) missing valuesMissing
plain_language_eligibility has 34 (3.4%) missing valuesMissing
how_to_apply_summary has 101 (10.1%) missing valuesMissing
how_to_apply_or_enroll_online has 464 (46.4%) missing valuesMissing
apply_online_call_to_action has 604 (60.4%) missing valuesMissing
url_of_online_application has 625 (62.5%) missing valuesMissing
how_to_apply_or_enroll_by has 824 (82.4%) missing valuesMissing
apply_by_mail_call_to_action has 869 (86.9%) missing valuesMissing
url_of_pdf_application_forms has 856 (85.6%) missing valuesMissing
how_to_apply_or_enroll_in has 641 (64.1%) missing valuesMissing
apply_in_person_call_to_action has 726 (72.6%) missing valuesMissing
office_locations_url has 733 (73.3%) missing valuesMissing
how_to_apply_or_enroll_by_1 has 664 (66.4%) missing valuesMissing
required_documents_summary has 586 (58.6%) missing valuesMissing
get_help_summary has 21 (2.1%) missing valuesMissing
get_help_in_person has 806 (80.6%) missing valuesMissing
get_help_online has 210 (21.0%) missing valuesMissing
get_help_by_email has 707 (70.7%) missing valuesMissing
get_help_by_calling_other has 415 (41.5%) missing valuesMissing
get_help_by_calling_311 has 434 (43.4%) missing valuesMissing
0 has unique valuesUnique
unique_id_number has unique valuesUnique

Reproduction

Analysis started2023-12-09 20:31:39.879113
Analysis finished2023-12-09 20:31:55.002168
Duration15.12 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

0
Real number (ℝ)

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean500.5
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2023-12-09T20:31:55.114155image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1250.75
median500.5
Q3750.25
95-th percentile950.05
Maximum1000
Range999
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation288.8194361
Coefficient of variation (CV)0.5770618104
Kurtosis-1.2
Mean500.5
Median Absolute Deviation (MAD)250
Skewness0
Sum500500
Variance83416.66667
MonotonicityStrictly increasing
2023-12-09T20:31:55.273804image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
672 1
 
0.1%
659 1
 
0.1%
660 1
 
0.1%
661 1
 
0.1%
662 1
 
0.1%
663 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
ValueCountFrequency (%)
1000 1
0.1%
999 1
0.1%
998 1
0.1%
997 1
0.1%
996 1
0.1%

unique_id_number
Text

UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size60.8 KiB
2023-12-09T20:31:55.749599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.182
Min length5

Characters and Unicode

Total characters5182
Distinct characters23
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1000 ?
Unique (%)100.0%

Sample

1st rowP0015f
2nd rowP001a
3rd rowP001b
4th rowP001c
5th rowP001en
ValueCountFrequency (%)
p035c 1
 
0.1%
p101f 1
 
0.1%
p041p 1
 
0.1%
p035p 1
 
0.1%
p130a 1
 
0.1%
p029b 1
 
0.1%
p005en 1
 
0.1%
p052r 1
 
0.1%
p039en 1
 
0.1%
p004hc 1
 
0.1%
Other values (990) 990
99.0%
2023-12-09T20:31:56.357446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1090
21.0%
P 999
19.3%
1 395
 
7.6%
2 297
 
5.7%
9 196
 
3.8%
3 195
 
3.8%
8 188
 
3.6%
c 182
 
3.5%
5 179
 
3.5%
4 174
 
3.4%
Other values (13) 1287
24.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3001
57.9%
Lowercase Letter 1182
 
22.8%
Uppercase Letter 999
 
19.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
c 182
15.4%
k 96
8.1%
r 92
7.8%
h 91
7.7%
f 91
7.7%
b 91
7.7%
u 91
7.7%
p 91
7.7%
a 90
7.6%
n 89
7.5%
Other values (2) 178
15.1%
Decimal Number
ValueCountFrequency (%)
0 1090
36.3%
1 395
 
13.2%
2 297
 
9.9%
9 196
 
6.5%
3 195
 
6.5%
8 188
 
6.3%
5 179
 
6.0%
4 174
 
5.8%
7 173
 
5.8%
6 114
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
P 999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3001
57.9%
Latin 2181
42.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
P 999
45.8%
c 182
 
8.3%
k 96
 
4.4%
r 92
 
4.2%
h 91
 
4.2%
f 91
 
4.2%
b 91
 
4.2%
u 91
 
4.2%
p 91
 
4.2%
a 90
 
4.1%
Other values (3) 267
 
12.2%
Common
ValueCountFrequency (%)
0 1090
36.3%
1 395
 
13.2%
2 297
 
9.9%
9 196
 
6.5%
3 195
 
6.5%
8 188
 
6.3%
5 179
 
6.0%
4 174
 
5.8%
7 173
 
5.8%
6 114
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5182
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1090
21.0%
P 999
19.3%
1 395
 
7.6%
2 297
 
5.7%
9 196
 
3.8%
3 195
 
3.8%
8 188
 
3.6%
c 182
 
3.5%
5 179
 
3.5%
4 174
 
3.4%
Other values (13) 1287
24.8%

program_code
Text

MISSING 

Distinct41
Distinct (%)9.5%
Missing570
Missing (%)57.0%
Memory size44.4 KiB
2023-12-09T20:31:56.639358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.997674419
Min length4

Characters and Unicode

Total characters2579
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st rowS2R015
2nd rowS2R001
3rd rowS2R001
4th rowS2R001
5th rowS2R001
ValueCountFrequency (%)
s2r030 11
 
2.6%
s2r037 11
 
2.6%
s2r038 11
 
2.6%
s2r022 11
 
2.6%
s2r004 11
 
2.6%
s2r029 11
 
2.6%
s2r085 11
 
2.6%
s2r039 11
 
2.6%
s2r034 11
 
2.6%
s2r007 11
 
2.6%
Other values (31) 320
74.4%
2023-12-09T20:31:57.036460image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 561
21.8%
0 550
21.3%
S 429
16.6%
R 429
16.6%
1 154
 
6.0%
3 143
 
5.5%
4 55
 
2.1%
6 55
 
2.1%
8 55
 
2.1%
5 55
 
2.1%
Other values (7) 93
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1716
66.5%
Uppercase Letter 862
33.4%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 561
32.7%
0 550
32.1%
1 154
 
9.0%
3 143
 
8.3%
4 55
 
3.2%
6 55
 
3.2%
8 55
 
3.2%
5 55
 
3.2%
7 44
 
2.6%
9 44
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
S 429
49.8%
R 429
49.8%
L 1
 
0.1%
Y 1
 
0.1%
F 1
 
0.1%
E 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1716
66.5%
Latin 863
33.5%

Most frequent character per script

Common
ValueCountFrequency (%)
2 561
32.7%
0 550
32.1%
1 154
 
9.0%
3 143
 
8.3%
4 55
 
3.2%
6 55
 
3.2%
8 55
 
3.2%
5 55
 
3.2%
7 44
 
2.6%
9 44
 
2.6%
Latin
ValueCountFrequency (%)
S 429
49.7%
R 429
49.7%
a 1
 
0.1%
L 1
 
0.1%
Y 1
 
0.1%
F 1
 
0.1%
E 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 561
21.8%
0 550
21.3%
S 429
16.6%
R 429
16.6%
1 154
 
6.0%
3 143
 
5.5%
4 55
 
2.1%
6 55
 
2.1%
8 55
 
2.1%
5 55
 
2.1%
Other values (7) 93
 
3.6%
Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size63.9 KiB
2023-12-09T20:31:57.254191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length21
Median length14
Mean length8.271
Min length4

Characters and Unicode

Total characters8271
Distinct characters31
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFrench
2nd rowArabic
3rd rowBengali
4th rowChinese (Traditional)
5th rowEnglish
ValueCountFrequency (%)
korean 96
 
8.1%
chinese 91
 
7.7%
traditional 91
 
7.7%
urdu 91
 
7.7%
bengali 91
 
7.7%
english 91
 
7.7%
haitian 91
 
7.7%
creole 91
 
7.7%
french 91
 
7.7%
arabic 90
 
7.6%
Other values (3) 268
22.7%
2023-12-09T20:31:57.583296image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 995
12.0%
n 820
 
9.9%
a 819
 
9.9%
e 642
 
7.8%
r 550
 
6.6%
s 540
 
6.5%
l 454
 
5.5%
h 451
 
5.5%
o 368
 
4.4%
C 182
 
2.2%
Other values (21) 2450
29.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6725
81.3%
Uppercase Letter 1182
 
14.3%
Space Separator 182
 
2.2%
Close Punctuation 91
 
1.1%
Open Punctuation 91
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 995
14.8%
n 820
12.2%
a 819
12.2%
e 642
9.5%
r 550
8.2%
s 540
8.0%
l 454
6.8%
h 451
6.7%
o 368
 
5.5%
g 182
 
2.7%
Other values (6) 904
13.4%
Uppercase Letter
ValueCountFrequency (%)
C 182
15.4%
K 96
8.1%
U 91
7.7%
B 91
7.7%
T 91
7.7%
E 91
7.7%
H 91
7.7%
F 91
7.7%
A 90
7.6%
P 90
7.6%
Other values (2) 178
15.1%
Space Separator
ValueCountFrequency (%)
182
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7907
95.6%
Common 364
 
4.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 995
12.6%
n 820
 
10.4%
a 819
 
10.4%
e 642
 
8.1%
r 550
 
7.0%
s 540
 
6.8%
l 454
 
5.7%
h 451
 
5.7%
o 368
 
4.7%
C 182
 
2.3%
Other values (18) 2086
26.4%
Common
ValueCountFrequency (%)
182
50.0%
) 91
25.0%
( 91
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8271
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 995
12.0%
n 820
 
9.9%
a 819
 
9.9%
e 642
 
7.8%
r 550
 
6.6%
s 540
 
6.5%
l 454
 
5.5%
h 451
 
5.5%
o 368
 
4.4%
C 182
 
2.2%
Other values (21) 2450
29.6%
Distinct871
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size118.9 KiB
2023-12-09T20:31:57.945605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length143
Median length76
Mean length30.939
Min length2

Characters and Unicode

Total characters30939
Distinct characters680
Distinct categories13 ?
Distinct scripts8 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique849 ?
Unique (%)84.9%

Sample

1st rowExemption à l'augmentation des loyers des citoyens seniors
2nd rowبرنامج الائتمان الضريبي للطفل والمعالين
3rd rowশিশু ও নির্ভরশীল কেয়ার ট্যাক্স ক্রেডিট
4th row兒童和受贍養者照管費用稅收抵免
5th rowChild and Dependent Care Tax Credit
ValueCountFrequency (%)
de 116
 
2.5%
nyc 111
 
2.4%
program 57
 
1.2%
49
 
1.1%
برنامج 39
 
0.8%
earn 33
 
0.7%
la 33
 
0.7%
health 33
 
0.7%
cuny 31
 
0.7%
for 30
 
0.7%
Other values (2019) 4072
88.4%
2023-12-09T20:31:58.504829image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3604
 
11.6%
e 1669
 
5.4%
a 1461
 
4.7%
o 1127
 
3.6%
r 1122
 
3.6%
i 1089
 
3.5%
n 1038
 
3.4%
s 809
 
2.6%
t 766
 
2.5%
d 662
 
2.1%
Other values (670) 17592
56.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17012
55.0%
Other Letter 6064
 
19.6%
Space Separator 3604
 
11.6%
Uppercase Letter 2829
 
9.1%
Spacing Mark 443
 
1.4%
Nonspacing Mark 324
 
1.0%
Open Punctuation 169
 
0.5%
Close Punctuation 169
 
0.5%
Other Punctuation 130
 
0.4%
Dash Punctuation 94
 
0.3%
Other values (3) 101
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 598
 
9.9%
ل 285
 
4.7%
م 261
 
4.3%
ر 254
 
4.2%
ن 206
 
3.4%
198
 
3.3%
و 171
 
2.8%
ی 170
 
2.8%
ي 130
 
2.1%
ب 126
 
2.1%
Other values (506) 3665
60.4%
Lowercase Letter
ValueCountFrequency (%)
e 1669
 
9.8%
a 1461
 
8.6%
o 1127
 
6.6%
r 1122
 
6.6%
i 1089
 
6.4%
n 1038
 
6.1%
s 809
 
4.8%
t 766
 
4.5%
d 662
 
3.9%
l 619
 
3.6%
Other values (67) 6650
39.1%
Uppercase Letter
ValueCountFrequency (%)
C 353
12.5%
S 241
 
8.5%
P 236
 
8.3%
Y 232
 
8.2%
N 230
 
8.1%
A 200
 
7.1%
E 174
 
6.2%
F 135
 
4.8%
H 112
 
4.0%
L 99
 
3.5%
Other values (41) 817
28.9%
Other Punctuation
ValueCountFrequency (%)
& 40
30.8%
' 31
23.8%
, 27
20.8%
/ 21
16.2%
. 6
 
4.6%
\ 2
 
1.5%
" 1
 
0.8%
1
 
0.8%
، 1
 
0.8%
Nonspacing Mark
ValueCountFrequency (%)
231
71.3%
41
 
12.7%
30
 
9.3%
15
 
4.6%
3
 
0.9%
ً 2
 
0.6%
ِ 1
 
0.3%
ّ 1
 
0.3%
Spacing Mark
ValueCountFrequency (%)
189
42.7%
ি 127
28.7%
85
19.2%
18
 
4.1%
14
 
3.2%
7
 
1.6%
3
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 33
41.2%
9 23
28.7%
8 13
 
16.2%
3 11
 
13.8%
Dash Punctuation
ValueCountFrequency (%)
- 92
97.9%
2
 
2.1%
Final Punctuation
ValueCountFrequency (%)
19
95.0%
» 1
 
5.0%
Space Separator
ValueCountFrequency (%)
3604
100.0%
Open Punctuation
ValueCountFrequency (%)
( 169
100.0%
Close Punctuation
ValueCountFrequency (%)
) 169
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16983
54.9%
Common 4267
 
13.8%
Arabic 3649
 
11.8%
Cyrillic 2858
 
9.2%
Bengali 1990
 
6.4%
Hangul 620
 
2.0%
Han 568
 
1.8%
Inherited 4
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
25
 
4.4%
13
 
2.3%
13
 
2.3%
11
 
1.9%
11
 
1.9%
10
 
1.8%
10
 
1.8%
10
 
1.8%
9
 
1.6%
8
 
1.4%
Other values (238) 448
78.9%
Hangul
ValueCountFrequency (%)
21
 
3.4%
19
 
3.1%
19
 
3.1%
19
 
3.1%
16
 
2.6%
14
 
2.3%
12
 
1.9%
12
 
1.9%
11
 
1.8%
11
 
1.8%
Other values (174) 466
75.2%
Latin
ValueCountFrequency (%)
e 1669
 
9.8%
a 1461
 
8.6%
o 1127
 
6.6%
r 1122
 
6.6%
i 1089
 
6.4%
n 1038
 
6.1%
s 809
 
4.8%
t 766
 
4.5%
d 662
 
3.9%
l 619
 
3.6%
Other values (65) 6621
39.0%
Cyrillic
ValueCountFrequency (%)
о 349
 
12.2%
а 229
 
8.0%
е 217
 
7.6%
и 182
 
6.4%
н 173
 
6.1%
р 171
 
6.0%
м 136
 
4.8%
л 130
 
4.5%
с 122
 
4.3%
т 115
 
4.0%
Other values (43) 1034
36.2%
Arabic
ValueCountFrequency (%)
ا 598
16.4%
ل 285
 
7.8%
م 261
 
7.2%
ر 254
 
7.0%
ن 206
 
5.6%
و 171
 
4.7%
ی 170
 
4.7%
ي 130
 
3.6%
ب 126
 
3.5%
س 120
 
3.3%
Other values (38) 1328
36.4%
Bengali
ValueCountFrequency (%)
231
 
11.6%
198
 
9.9%
189
 
9.5%
ি 127
 
6.4%
108
 
5.4%
103
 
5.2%
87
 
4.4%
85
 
4.3%
79
 
4.0%
68
 
3.4%
Other values (38) 715
35.9%
Common
ValueCountFrequency (%)
3604
84.5%
( 169
 
4.0%
) 169
 
4.0%
- 92
 
2.2%
& 40
 
0.9%
1 33
 
0.8%
' 31
 
0.7%
, 27
 
0.6%
9 23
 
0.5%
/ 21
 
0.5%
Other values (11) 58
 
1.4%
Inherited
ValueCountFrequency (%)
ً 2
50.0%
ِ 1
25.0%
ّ 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20888
67.5%
Arabic 3654
 
11.8%
Cyrillic 2858
 
9.2%
Bengali 1990
 
6.4%
Hangul 620
 
2.0%
CJK 568
 
1.8%
None 340
 
1.1%
Punctuation 21
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3604
17.3%
e 1669
 
8.0%
a 1461
 
7.0%
o 1127
 
5.4%
r 1122
 
5.4%
i 1089
 
5.2%
n 1038
 
5.0%
s 809
 
3.9%
t 766
 
3.7%
d 662
 
3.2%
Other values (56) 7541
36.1%
Arabic
ValueCountFrequency (%)
ا 598
16.4%
ل 285
 
7.8%
م 261
 
7.1%
ر 254
 
7.0%
ن 206
 
5.6%
و 171
 
4.7%
ی 170
 
4.7%
ي 130
 
3.6%
ب 126
 
3.4%
س 120
 
3.3%
Other values (42) 1333
36.5%
Cyrillic
ValueCountFrequency (%)
о 349
 
12.2%
а 229
 
8.0%
е 217
 
7.6%
и 182
 
6.4%
н 173
 
6.1%
р 171
 
6.0%
м 136
 
4.8%
л 130
 
4.5%
с 122
 
4.3%
т 115
 
4.0%
Other values (43) 1034
36.2%
Bengali
ValueCountFrequency (%)
231
 
11.6%
198
 
9.9%
189
 
9.5%
ি 127
 
6.4%
108
 
5.4%
103
 
5.2%
87
 
4.4%
85
 
4.3%
79
 
4.0%
68
 
3.4%
Other values (38) 715
35.9%
None
ValueCountFrequency (%)
é 79
23.2%
ó 55
16.2%
è 54
15.9%
ł 29
 
8.5%
ś 18
 
5.3%
ò 17
 
5.0%
ż 12
 
3.5%
ą 12
 
3.5%
à 11
 
3.2%
ę 9
 
2.6%
Other values (17) 44
12.9%
CJK
ValueCountFrequency (%)
25
 
4.4%
13
 
2.3%
13
 
2.3%
11
 
1.9%
11
 
1.9%
10
 
1.8%
10
 
1.8%
10
 
1.8%
9
 
1.6%
8
 
1.4%
Other values (238) 448
78.9%
Hangul
ValueCountFrequency (%)
21
 
3.4%
19
 
3.1%
19
 
3.1%
19
 
3.1%
16
 
2.6%
14
 
2.3%
12
 
1.9%
12
 
1.9%
11
 
1.8%
11
 
1.8%
Other values (174) 466
75.2%
Punctuation
ValueCountFrequency (%)
19
90.5%
2
 
9.5%

program_acronym
Text

MISSING 

Distinct52
Distinct (%)10.2%
Missing489
Missing (%)48.9%
Memory size45.9 KiB
2023-12-09T20:31:58.794377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.162426614
Min length2

Characters and Unicode

Total characters2127
Distinct characters30
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st rowSCRIE
2nd rowCDCC
3rd rowCTC
4th rowCTC
5th rowCTC
ValueCountFrequency (%)
nyc 22
 
4.0%
eip 21
 
3.9%
scrie 11
 
2.0%
aar 11
 
2.0%
hasa 11
 
2.0%
ctc 11
 
2.0%
fss 11
 
2.0%
drie 11
 
2.0%
ffnyc 11
 
2.0%
snap 11
 
2.0%
Other values (43) 413
75.9%
2023-12-09T20:31:59.194761image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 291
13.7%
S 252
11.8%
P 196
 
9.2%
E 179
 
8.4%
A 162
 
7.6%
F 141
 
6.6%
H 128
 
6.0%
N 104
 
4.9%
Y 100
 
4.7%
I 76
 
3.6%
Other values (20) 498
23.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2009
94.5%
Lowercase Letter 34
 
1.6%
Space Separator 33
 
1.6%
Dash Punctuation 30
 
1.4%
Decimal Number 21
 
1.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 291
14.5%
S 252
12.5%
P 196
9.8%
E 179
8.9%
A 162
8.1%
F 141
 
7.0%
H 128
 
6.4%
N 104
 
5.2%
Y 100
 
5.0%
I 76
 
3.8%
Other values (12) 380
18.9%
Lowercase Letter
ValueCountFrequency (%)
e 11
32.4%
s 11
32.4%
r 11
32.4%
c 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 11
52.4%
3 10
47.6%
Space Separator
ValueCountFrequency (%)
33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2043
96.1%
Common 84
 
3.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 291
14.2%
S 252
12.3%
P 196
9.6%
E 179
8.8%
A 162
 
7.9%
F 141
 
6.9%
H 128
 
6.3%
N 104
 
5.1%
Y 100
 
4.9%
I 76
 
3.7%
Other values (16) 414
20.3%
Common
ValueCountFrequency (%)
33
39.3%
- 30
35.7%
1 11
 
13.1%
3 10
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2127
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 291
13.7%
S 252
11.8%
P 196
 
9.2%
E 179
 
8.4%
A 162
 
7.6%
F 141
 
6.6%
H 128
 
6.0%
N 104
 
4.9%
Y 100
 
4.7%
I 76
 
3.6%
Other values (20) 498
23.4%
Distinct4
Distinct (%)0.4%
Missing1
Missing (%)0.1%
Memory size62.6 KiB
2023-12-09T20:31:59.364532image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.055055055
Min length7

Characters and Unicode

Total characters7048
Distinct characters18
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowProgram
2nd rowBenefit
3rd rowBenefit
4th rowBenefit
5th rowBenefit
ValueCountFrequency (%)
program 504
50.5%
service 264
26.4%
benefit 176
 
17.6%
resource 55
 
5.5%
2023-12-09T20:31:59.632462image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 1327
18.8%
e 990
14.0%
o 559
7.9%
P 504
 
7.2%
g 504
 
7.2%
a 504
 
7.2%
m 504
 
7.2%
i 440
 
6.2%
c 319
 
4.5%
v 264
 
3.7%
Other values (8) 1133
16.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6049
85.8%
Uppercase Letter 999
 
14.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 1327
21.9%
e 990
16.4%
o 559
9.2%
g 504
 
8.3%
a 504
 
8.3%
m 504
 
8.3%
i 440
 
7.3%
c 319
 
5.3%
v 264
 
4.4%
n 176
 
2.9%
Other values (4) 462
 
7.6%
Uppercase Letter
ValueCountFrequency (%)
P 504
50.5%
S 264
26.4%
B 176
 
17.6%
R 55
 
5.5%

Most occurring scripts

ValueCountFrequency (%)
Latin 7048
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 1327
18.8%
e 990
14.0%
o 559
7.9%
P 504
 
7.2%
g 504
 
7.2%
a 504
 
7.2%
m 504
 
7.2%
i 440
 
6.2%
c 319
 
4.5%
v 264
 
3.7%
Other values (8) 1133
16.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7048
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 1327
18.8%
e 990
14.0%
o 559
7.9%
P 504
 
7.2%
g 504
 
7.2%
a 504
 
7.2%
m 504
 
7.2%
i 440
 
6.2%
c 319
 
4.5%
v 264
 
3.7%
Other values (8) 1133
16.1%
Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size65.5 KiB
2023-12-09T20:31:59.834083image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length24
Median length15
Mean length9.979
Min length4

Characters and Unicode

Total characters9979
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHousing
2nd rowCash & expenses
3rd rowCash & Expenses
4th rowCash & expenses
5th rowCash & expenses
ValueCountFrequency (%)
cash 185
11.4%
185
11.4%
expenses 185
11.4%
health 164
10.1%
family 134
8.2%
services 134
8.2%
education 124
7.6%
work 99
 
6.1%
food 88
 
5.4%
housing 66
 
4.1%
Other values (9) 261
16.1%
2023-12-09T20:32:00.180446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1115
 
11.2%
s 885
 
8.9%
i 730
 
7.3%
a 684
 
6.9%
625
 
6.3%
n 501
 
5.0%
o 498
 
5.0%
h 478
 
4.8%
t 428
 
4.3%
l 397
 
4.0%
Other values (23) 3638
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7955
79.7%
Uppercase Letter 1214
 
12.2%
Space Separator 625
 
6.3%
Other Punctuation 185
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1115
14.0%
s 885
11.1%
i 730
 
9.2%
a 684
 
8.6%
n 501
 
6.3%
o 498
 
6.3%
h 478
 
6.0%
t 428
 
5.4%
l 397
 
5.0%
c 343
 
4.3%
Other values (12) 1896
23.8%
Uppercase Letter
ValueCountFrequency (%)
E 254
20.9%
C 251
20.7%
H 230
18.9%
F 222
18.3%
W 99
 
8.2%
S 70
 
5.8%
D 44
 
3.6%
P 33
 
2.7%
I 11
 
0.9%
Space Separator
ValueCountFrequency (%)
625
100.0%
Other Punctuation
ValueCountFrequency (%)
& 185
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9169
91.9%
Common 810
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1115
 
12.2%
s 885
 
9.7%
i 730
 
8.0%
a 684
 
7.5%
n 501
 
5.5%
o 498
 
5.4%
h 478
 
5.2%
t 428
 
4.7%
l 397
 
4.3%
c 343
 
3.7%
Other values (21) 3110
33.9%
Common
ValueCountFrequency (%)
625
77.2%
& 185
 
22.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1115
 
11.2%
s 885
 
8.9%
i 730
 
7.3%
a 684
 
6.9%
625
 
6.3%
n 501
 
5.0%
o 498
 
5.0%
h 478
 
4.8%
t 428
 
4.3%
l 397
 
4.0%
Other values (23) 3638
36.5%
Distinct618
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size167.8 KiB
2023-12-09T20:32:00.583514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length217
Median length133
Mean length58.699
Min length6

Characters and Unicode

Total characters58699
Distinct characters385
Distinct categories14 ?
Distinct scripts7 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique445 ?
Unique (%)44.5%

Sample

1st rowministère des Finances de la Ville de New York (NYC Department of Finance, DOF)/Département de la préservation et du développement des logements de la ville de New York (NYC Housing Preservation and Development, HPD)
2nd rowإدارة حماية المستهلك والعامل في مدينة نيويورك (DCWP)/دائرة الإيرادات الداخلية (IRS)
3rd rowNYC উপভোক্তা ও কর্মী-সুরক্ষা বিভাগ (Department of Consumer and Worker Protection, DCWP) / আভ্যন্তরীণ রাজস্ব পরিষেবা (Internal Revenue Service, IRS)
4th row紐約市消費者與勞工保護局 (DCWP)/國家稅務局 (Internal Revenue Service, IRS)
5th rowNYC Department of Consumer and Worker Protection (DCWP); Internal Revenue Service (IRS)
ValueCountFrequency (%)
nyc 883
 
10.0%
of 401
 
4.5%
de 361
 
4.1%
department 358
 
4.0%
279
 
3.1%
health 156
 
1.8%
york 146
 
1.6%
la 130
 
1.5%
new 118
 
1.3%
development 117
 
1.3%
Other values (837) 5920
66.7%
2023-12-09T20:32:01.175007image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7869
 
13.4%
e 3673
 
6.3%
t 2666
 
4.5%
n 2413
 
4.1%
a 2407
 
4.1%
o 2161
 
3.7%
i 1828
 
3.1%
r 1559
 
2.7%
Y 1400
 
2.4%
C 1379
 
2.3%
Other values (375) 31344
53.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 30713
52.3%
Uppercase Letter 8984
 
15.3%
Space Separator 7869
 
13.4%
Other Letter 7796
 
13.3%
Other Punctuation 844
 
1.4%
Close Punctuation 743
 
1.3%
Open Punctuation 739
 
1.3%
Spacing Mark 466
 
0.8%
Nonspacing Mark 298
 
0.5%
Math Symbol 99
 
0.2%
Other values (4) 148
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 629
 
8.1%
م 361
 
4.6%
ل 355
 
4.6%
ن 336
 
4.3%
ي 326
 
4.2%
و 318
 
4.1%
ر 281
 
3.6%
ة 265
 
3.4%
ی 211
 
2.7%
ت 188
 
2.4%
Other values (234) 4526
58.1%
Lowercase Letter
ValueCountFrequency (%)
e 3673
 
12.0%
t 2666
 
8.7%
n 2413
 
7.9%
a 2407
 
7.8%
o 2161
 
7.0%
i 1828
 
6.0%
r 1559
 
5.1%
m 1373
 
4.5%
s 1223
 
4.0%
d 1138
 
3.7%
Other values (64) 10272
33.4%
Uppercase Letter
ValueCountFrequency (%)
Y 1400
15.6%
C 1379
15.3%
N 1295
14.4%
D 1218
13.6%
H 828
9.2%
A 336
 
3.7%
E 288
 
3.2%
S 266
 
3.0%
O 259
 
2.9%
R 254
 
2.8%
Other values (29) 1461
16.3%
Other Punctuation
ValueCountFrequency (%)
, 439
52.0%
& 156
 
18.5%
/ 103
 
12.2%
. 81
 
9.6%
; 44
 
5.2%
' 17
 
2.0%
\ 4
 
0.5%
Spacing Mark
ValueCountFrequency (%)
213
45.7%
ি 184
39.5%
45
 
9.7%
11
 
2.4%
6
 
1.3%
6
 
1.3%
1
 
0.2%
Nonspacing Mark
ValueCountFrequency (%)
244
81.9%
25
 
8.4%
24
 
8.1%
5
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 75
98.7%
1
 
1.3%
Decimal Number
ValueCountFrequency (%)
7 11
50.0%
9 11
50.0%
Space Separator
ValueCountFrequency (%)
7869
100.0%
Close Punctuation
ValueCountFrequency (%)
) 743
100.0%
Open Punctuation
ValueCountFrequency (%)
( 739
100.0%
Math Symbol
ValueCountFrequency (%)
+ 99
100.0%
Final Punctuation
ValueCountFrequency (%)
40
100.0%
Format
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35846
61.1%
Common 10442
 
17.8%
Arabic 4855
 
8.3%
Cyrillic 3851
 
6.6%
Bengali 2131
 
3.6%
Han 827
 
1.4%
Hangul 747
 
1.3%

Most frequent character per script

Han
ValueCountFrequency (%)
83
 
10.0%
74
 
8.9%
74
 
8.9%
68
 
8.2%
30
 
3.6%
27
 
3.3%
21
 
2.5%
19
 
2.3%
19
 
2.3%
15
 
1.8%
Other values (79) 397
48.0%
Hangul
ValueCountFrequency (%)
55
 
7.4%
49
 
6.6%
49
 
6.6%
40
 
5.4%
35
 
4.7%
31
 
4.1%
28
 
3.7%
25
 
3.3%
19
 
2.5%
19
 
2.5%
Other values (68) 397
53.1%
Latin
ValueCountFrequency (%)
e 3673
 
10.2%
t 2666
 
7.4%
n 2413
 
6.7%
a 2407
 
6.7%
o 2161
 
6.0%
i 1828
 
5.1%
r 1559
 
4.3%
Y 1400
 
3.9%
C 1379
 
3.8%
m 1373
 
3.8%
Other values (58) 14987
41.8%
Arabic
ValueCountFrequency (%)
ا 629
 
13.0%
م 361
 
7.4%
ل 355
 
7.3%
ن 336
 
6.9%
ي 326
 
6.7%
و 318
 
6.5%
ر 281
 
5.8%
ة 265
 
5.5%
ی 211
 
4.3%
ت 188
 
3.9%
Other values (37) 1585
32.6%
Cyrillic
ValueCountFrequency (%)
а 394
 
10.2%
о 351
 
9.1%
е 337
 
8.8%
р 312
 
8.1%
и 284
 
7.4%
н 245
 
6.4%
т 218
 
5.7%
п 142
 
3.7%
в 137
 
3.6%
с 115
 
3.0%
Other values (35) 1316
34.2%
Bengali
ValueCountFrequency (%)
244
 
11.5%
213
 
10.0%
ি 184
 
8.6%
151
 
7.1%
149
 
7.0%
147
 
6.9%
91
 
4.3%
81
 
3.8%
74
 
3.5%
73
 
3.4%
Other values (31) 724
34.0%
Common
ValueCountFrequency (%)
7869
75.4%
) 743
 
7.1%
( 739
 
7.1%
, 439
 
4.2%
& 156
 
1.5%
/ 103
 
1.0%
+ 99
 
0.9%
. 81
 
0.8%
- 75
 
0.7%
; 44
 
0.4%
Other values (7) 94
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45809
78.0%
Arabic 4855
 
8.3%
Cyrillic 3851
 
6.6%
Bengali 2131
 
3.6%
CJK 827
 
1.4%
Hangul 747
 
1.3%
None 428
 
0.7%
Punctuation 51
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7869
17.2%
e 3673
 
8.0%
t 2666
 
5.8%
n 2413
 
5.3%
a 2407
 
5.3%
o 2161
 
4.7%
i 1828
 
4.0%
r 1559
 
3.4%
Y 1400
 
3.1%
C 1379
 
3.0%
Other values (54) 18454
40.3%
Arabic
ValueCountFrequency (%)
ا 629
 
13.0%
م 361
 
7.4%
ل 355
 
7.3%
ن 336
 
6.9%
ي 326
 
6.7%
و 318
 
6.5%
ر 281
 
5.8%
ة 265
 
5.5%
ی 211
 
4.3%
ت 188
 
3.9%
Other values (37) 1585
32.6%
Cyrillic
ValueCountFrequency (%)
а 394
 
10.2%
о 351
 
9.1%
е 337
 
8.8%
р 312
 
8.1%
и 284
 
7.4%
н 245
 
6.4%
т 218
 
5.7%
п 142
 
3.7%
в 137
 
3.6%
с 115
 
3.0%
Other values (35) 1316
34.2%
Bengali
ValueCountFrequency (%)
244
 
11.5%
213
 
10.0%
ি 184
 
8.6%
151
 
7.1%
149
 
7.0%
147
 
6.9%
91
 
4.3%
81
 
3.8%
74
 
3.5%
73
 
3.4%
Other values (31) 724
34.0%
None
ValueCountFrequency (%)
é 134
31.3%
è 83
19.4%
ó 71
16.6%
ł 64
15.0%
ą 23
 
5.4%
ś 11
 
2.6%
ż 10
 
2.3%
É 9
 
2.1%
ò 7
 
1.6%
ô 5
 
1.2%
Other values (8) 11
 
2.6%
CJK
ValueCountFrequency (%)
83
 
10.0%
74
 
8.9%
74
 
8.9%
68
 
8.2%
30
 
3.6%
27
 
3.3%
21
 
2.5%
19
 
2.3%
19
 
2.3%
15
 
1.8%
Other values (79) 397
48.0%
Hangul
ValueCountFrequency (%)
55
 
7.4%
49
 
6.6%
49
 
6.6%
40
 
5.4%
35
 
4.7%
31
 
4.1%
28
 
3.7%
25
 
3.3%
19
 
2.5%
19
 
2.5%
Other values (68) 397
53.1%
Punctuation
ValueCountFrequency (%)
40
78.4%
10
 
19.6%
1
 
2.0%
Distinct110
Distinct (%)11.1%
Missing9
Missing (%)0.9%
Memory size99.5 KiB
2023-12-09T20:32:01.447462image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length165
Median length130
Mean length45.37235116
Min length7

Characters and Unicode

Total characters44964
Distinct characters44
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)3.3%

Sample

1st rowImmigrants,People with disabilities,Seniors,Veterans
2nd rowEveryone,Immigrants
3rd rowEveryone,Immigrants
4th rowEveryone,Immigrants
5th rowEveryone,Immigrants
ValueCountFrequency (%)
children 285
 
8.3%
265
 
7.7%
new 265
 
7.7%
with 239
 
7.0%
10 231
 
6.7%
impacted 193
 
5.6%
everyone 143
 
4.2%
disabilities 142
 
4.1%
residents,people 108
 
3.1%
pregnant 84
 
2.4%
Other values (83) 1482
43.1%
2023-12-09T20:32:01.902721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 4469
 
9.9%
i 3224
 
7.2%
n 3195
 
7.1%
t 3121
 
6.9%
s 2705
 
6.0%
, 2475
 
5.5%
2446
 
5.4%
r 2271
 
5.1%
a 1882
 
4.2%
m 1410
 
3.1%
Other values (34) 17766
39.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 30620
68.1%
Uppercase Letter 5102
 
11.3%
Other Punctuation 2740
 
6.1%
Space Separator 2446
 
5.4%
Decimal Number 1967
 
4.4%
Close Punctuation 632
 
1.4%
Open Punctuation 632
 
1.4%
Dash Punctuation 510
 
1.1%
Math Symbol 315
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4469
14.6%
i 3224
10.5%
n 3195
10.4%
t 3121
10.2%
s 2705
8.8%
r 2271
 
7.4%
a 1882
 
6.1%
m 1410
 
4.6%
d 1359
 
4.4%
o 1161
 
3.8%
Other values (10) 5823
19.0%
Uppercase Letter
ValueCountFrequency (%)
C 726
14.2%
I 642
12.6%
S 610
12.0%
Y 531
10.4%
P 504
9.9%
E 391
7.7%
V 345
6.8%
F 319
6.3%
N 216
 
4.2%
H 216
 
4.2%
Other values (3) 602
11.8%
Decimal Number
ValueCountFrequency (%)
1 825
41.9%
0 632
32.1%
3 317
 
16.1%
9 193
 
9.8%
Other Punctuation
ValueCountFrequency (%)
, 2475
90.3%
& 265
 
9.7%
Space Separator
ValueCountFrequency (%)
2446
100.0%
Close Punctuation
ValueCountFrequency (%)
) 632
100.0%
Open Punctuation
ValueCountFrequency (%)
( 632
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 510
100.0%
Math Symbol
ValueCountFrequency (%)
+ 315
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 35722
79.4%
Common 9242
 
20.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4469
12.5%
i 3224
 
9.0%
n 3195
 
8.9%
t 3121
 
8.7%
s 2705
 
7.6%
r 2271
 
6.4%
a 1882
 
5.3%
m 1410
 
3.9%
d 1359
 
3.8%
o 1161
 
3.3%
Other values (23) 10925
30.6%
Common
ValueCountFrequency (%)
, 2475
26.8%
2446
26.5%
1 825
 
8.9%
) 632
 
6.8%
( 632
 
6.8%
0 632
 
6.8%
- 510
 
5.5%
3 317
 
3.4%
+ 315
 
3.4%
& 265
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 4469
 
9.9%
i 3224
 
7.2%
n 3195
 
7.1%
t 3121
 
6.9%
s 2705
 
6.0%
, 2475
 
5.5%
2446
 
5.4%
r 2271
 
5.1%
a 1882
 
4.2%
m 1410
 
3.1%
Other values (34) 17766
39.5%

age_group
Text

MISSING 

Distinct27
Distinct (%)16.7%
Missing838
Missing (%)83.8%
Memory size38.4 KiB
2023-12-09T20:32:02.113089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length85
Median length50
Mean length19.28395062
Min length8

Characters and Unicode

Total characters3124
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st rowEveryone
2nd rowEveryone
3rd rowBaby,Toddler
4th rowBaby,Toddler
5th rowEveryone
ValueCountFrequency (%)
everyone 43
19.5%
adult 40
18.2%
caregiver 23
10.5%
teen,young 20
9.1%
adult,caregiver 17
 
7.7%
caregiver,young 10
 
4.5%
grade-schooler,pre-teen,teen 8
 
3.6%
young 7
 
3.2%
toddler,pre-schooler 6
 
2.7%
pre-teen,teen,young 5
 
2.3%
Other values (18) 41
18.6%
2023-12-09T20:32:02.468245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 555
17.8%
r 332
 
10.6%
o 215
 
6.9%
n 193
 
6.2%
, 185
 
5.9%
g 129
 
4.1%
l 123
 
3.9%
d 123
 
3.9%
v 118
 
3.8%
u 116
 
3.7%
Other values (18) 1035
33.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2320
74.3%
Uppercase Letter 483
 
15.5%
Other Punctuation 185
 
5.9%
Dash Punctuation 78
 
2.5%
Space Separator 58
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 555
23.9%
r 332
14.3%
o 215
 
9.3%
n 193
 
8.3%
g 129
 
5.6%
l 123
 
5.3%
d 123
 
5.3%
v 118
 
5.1%
u 116
 
5.0%
a 114
 
4.9%
Other values (6) 302
13.0%
Uppercase Letter
ValueCountFrequency (%)
T 108
22.4%
C 71
14.7%
Y 58
12.0%
A 58
12.0%
P 53
11.0%
E 47
9.7%
S 45
9.3%
G 25
 
5.2%
B 18
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Space Separator
ValueCountFrequency (%)
58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2803
89.7%
Common 321
 
10.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 555
19.8%
r 332
11.8%
o 215
 
7.7%
n 193
 
6.9%
g 129
 
4.6%
l 123
 
4.4%
d 123
 
4.4%
v 118
 
4.2%
u 116
 
4.1%
a 114
 
4.1%
Other values (15) 785
28.0%
Common
ValueCountFrequency (%)
, 185
57.6%
- 78
24.3%
58
 
18.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 555
17.8%
r 332
 
10.6%
o 215
 
6.9%
n 193
 
6.2%
, 185
 
5.9%
g 129
 
4.1%
l 123
 
3.9%
d 123
 
3.9%
v 118
 
3.8%
u 116
 
3.7%
Other values (18) 1035
33.1%
Distinct999
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size138.3 KiB
2023-12-09T20:32:02.863068image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length135
Median length83
Mean length39.836
Min length4

Characters and Unicode

Total characters39836
Distinct characters812
Distinct categories14 ?
Distinct scripts8 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique998 ?
Unique (%)99.8%

Sample

1st rowGel des loyers pour les seniors
2nd rowخصم ضريبي في حالة إذا دفعت تكاليف رعاية الطفل أو تكاليف رعاية المعالين
3rd rowট্যাক্স ক্রেডিট যদি আপনি শিশু পরিচর্যা (child care) বা নির্ভরশীল পরিচর্যার (dependent care) জন্য অর্থ প্রদান করেন
4th row如果您支付子女照護或被扶養人照護費,將可獲得抵減稅額
5th rowTax refund if you paid for child and dependent care
ValueCountFrequency (%)
de 121
 
1.9%
کے 89
 
1.4%
pou 76
 
1.2%
para 66
 
1.0%
for 61
 
0.9%
pour 58
 
0.9%
জন্য 55
 
0.8%
dla 55
 
0.8%
les 53
 
0.8%
کی 40
 
0.6%
Other values (2886) 5835
89.6%
2023-12-09T20:32:03.443750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5509
 
13.8%
e 1807
 
4.5%
a 1750
 
4.4%
o 1371
 
3.4%
i 1301
 
3.3%
n 1270
 
3.2%
s 1063
 
2.7%
r 1057
 
2.7%
ا 844
 
2.1%
t 837
 
2.1%
Other values (802) 23027
57.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21145
53.1%
Other Letter 10267
25.8%
Space Separator 5509
 
13.8%
Uppercase Letter 1103
 
2.8%
Spacing Mark 719
 
1.8%
Nonspacing Mark 500
 
1.3%
Decimal Number 274
 
0.7%
Other Punctuation 134
 
0.3%
Dash Punctuation 113
 
0.3%
Final Punctuation 27
 
0.1%
Other values (4) 45
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 844
 
8.2%
ل 610
 
5.9%
م 381
 
3.7%
و 331
 
3.2%
329
 
3.2%
ر 307
 
3.0%
ی 292
 
2.8%
ن 279
 
2.7%
ک 241
 
2.3%
ت 217
 
2.1%
Other values (626) 6436
62.7%
Lowercase Letter
ValueCountFrequency (%)
e 1807
 
8.5%
a 1750
 
8.3%
o 1371
 
6.5%
i 1301
 
6.2%
n 1270
 
6.0%
s 1063
 
5.0%
r 1057
 
5.0%
t 837
 
4.0%
d 762
 
3.6%
l 697
 
3.3%
Other values (69) 9230
43.7%
Uppercase Letter
ValueCountFrequency (%)
S 99
 
9.0%
C 99
 
9.0%
P 79
 
7.2%
A 76
 
6.9%
D 60
 
5.4%
I 57
 
5.2%
V 56
 
5.1%
O 48
 
4.4%
Y 43
 
3.9%
N 42
 
3.8%
Other values (40) 444
40.3%
Other Punctuation
ValueCountFrequency (%)
, 45
33.6%
: 31
23.1%
. 20
14.9%
/ 11
 
8.2%
' 8
 
6.0%
، 6
 
4.5%
3
 
2.2%
3
 
2.2%
3
 
2.2%
& 2
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 75
27.4%
9 42
15.3%
2 34
12.4%
4 34
12.4%
6 33
12.0%
8 31
11.3%
3 13
 
4.7%
5 10
 
3.6%
1
 
0.4%
1
 
0.4%
Nonspacing Mark
ValueCountFrequency (%)
344
68.8%
63
 
12.6%
61
 
12.2%
15
 
3.0%
5
 
1.0%
ً 4
 
0.8%
َ 3
 
0.6%
ّ 3
 
0.6%
2
 
0.4%
Spacing Mark
ValueCountFrequency (%)
302
42.0%
ি 181
25.2%
167
23.2%
41
 
5.7%
14
 
1.9%
11
 
1.5%
2
 
0.3%
1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 105
92.9%
8
 
7.1%
Final Punctuation
ValueCountFrequency (%)
26
96.3%
» 1
 
3.7%
Space Separator
ValueCountFrequency (%)
5509
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18176
45.6%
Common 6100
 
15.3%
Arabic 6030
 
15.1%
Cyrillic 4077
 
10.2%
Bengali 3282
 
8.2%
Hangul 1155
 
2.9%
Han 1006
 
2.5%
Inherited 10
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
50
 
5.0%
21
 
2.1%
18
 
1.8%
16
 
1.6%
16
 
1.6%
15
 
1.5%
15
 
1.5%
14
 
1.4%
14
 
1.4%
13
 
1.3%
Other values (314) 814
80.9%
Hangul
ValueCountFrequency (%)
47
 
4.1%
42
 
3.6%
31
 
2.7%
27
 
2.3%
24
 
2.1%
23
 
2.0%
22
 
1.9%
22
 
1.9%
21
 
1.8%
19
 
1.6%
Other values (215) 877
75.9%
Latin
ValueCountFrequency (%)
e 1807
 
9.9%
a 1750
 
9.6%
o 1371
 
7.5%
i 1301
 
7.2%
n 1270
 
7.0%
s 1063
 
5.8%
r 1057
 
5.8%
t 837
 
4.6%
d 762
 
4.2%
l 697
 
3.8%
Other values (67) 6261
34.4%
Bengali
ValueCountFrequency (%)
344
 
10.5%
329
 
10.0%
302
 
9.2%
188
 
5.7%
ি 181
 
5.5%
167
 
5.1%
166
 
5.1%
149
 
4.5%
147
 
4.5%
145
 
4.4%
Other values (44) 1164
35.5%
Cyrillic
ValueCountFrequency (%)
о 425
 
10.4%
е 351
 
8.6%
и 308
 
7.6%
а 277
 
6.8%
н 259
 
6.4%
л 229
 
5.6%
т 194
 
4.8%
с 192
 
4.7%
д 191
 
4.7%
р 168
 
4.1%
Other values (43) 1483
36.4%
Arabic
ValueCountFrequency (%)
ا 844
 
14.0%
ل 610
 
10.1%
م 381
 
6.3%
و 331
 
5.5%
ر 307
 
5.1%
ی 292
 
4.8%
ن 279
 
4.6%
ک 241
 
4.0%
ت 217
 
3.6%
ي 212
 
3.5%
Other values (38) 2316
38.4%
Common
ValueCountFrequency (%)
5509
90.3%
- 105
 
1.7%
1 75
 
1.2%
, 45
 
0.7%
9 42
 
0.7%
2 34
 
0.6%
4 34
 
0.6%
6 33
 
0.5%
8 31
 
0.5%
: 31
 
0.5%
Other values (18) 161
 
2.6%
Inherited
ValueCountFrequency (%)
ً 4
40.0%
َ 3
30.0%
ّ 3
30.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23636
59.3%
Arabic 6046
 
15.2%
Cyrillic 4077
 
10.2%
Bengali 3282
 
8.2%
Hangul 1155
 
2.9%
CJK 1006
 
2.5%
None 597
 
1.5%
Punctuation 34
 
0.1%
Devanagari 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5509
23.3%
e 1807
 
7.6%
a 1750
 
7.4%
o 1371
 
5.8%
i 1301
 
5.5%
n 1270
 
5.4%
s 1063
 
4.5%
r 1057
 
4.5%
t 837
 
3.5%
d 762
 
3.2%
Other values (60) 6909
29.2%
Arabic
ValueCountFrequency (%)
ا 844
 
14.0%
ل 610
 
10.1%
م 381
 
6.3%
و 331
 
5.5%
ر 307
 
5.1%
ی 292
 
4.8%
ن 279
 
4.6%
ک 241
 
4.0%
ت 217
 
3.6%
ي 212
 
3.5%
Other values (42) 2332
38.6%
Cyrillic
ValueCountFrequency (%)
о 425
 
10.4%
е 351
 
8.6%
и 308
 
7.6%
а 277
 
6.8%
н 259
 
6.4%
л 229
 
5.6%
т 194
 
4.8%
с 192
 
4.7%
д 191
 
4.7%
р 168
 
4.1%
Other values (43) 1483
36.4%
Bengali
ValueCountFrequency (%)
344
 
10.5%
329
 
10.0%
302
 
9.2%
188
 
5.7%
ি 181
 
5.5%
167
 
5.1%
166
 
5.1%
149
 
4.5%
147
 
4.5%
145
 
4.4%
Other values (44) 1164
35.5%
None
ValueCountFrequency (%)
é 97
16.2%
ó 93
15.6%
è 89
14.9%
ł 58
9.7%
ś 35
 
5.9%
ò 31
 
5.2%
à 29
 
4.9%
ż 26
 
4.4%
ñ 20
 
3.4%
ą 19
 
3.2%
Other values (21) 100
16.8%
CJK
ValueCountFrequency (%)
50
 
5.0%
21
 
2.1%
18
 
1.8%
16
 
1.6%
16
 
1.6%
15
 
1.5%
15
 
1.5%
14
 
1.4%
14
 
1.4%
13
 
1.3%
Other values (314) 814
80.9%
Hangul
ValueCountFrequency (%)
47
 
4.1%
42
 
3.6%
31
 
2.7%
27
 
2.3%
24
 
2.1%
23
 
2.0%
22
 
1.9%
22
 
1.9%
21
 
1.8%
19
 
1.6%
Other values (215) 877
75.9%
Punctuation
ValueCountFrequency (%)
26
76.5%
8
 
23.5%
Devanagari
ValueCountFrequency (%)
3
100.0%
Distinct999
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size461.5 KiB
2023-12-09T20:32:03.864227image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length729
Median length333.5
Mean length231.366
Min length30

Characters and Unicode

Total characters231366
Distinct characters1489
Distinct categories17 ?
Distinct scripts8 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique998 ?
Unique (%)99.8%

Sample

1st rowLe programme SCRIE aide les citoyens seniors (d’au moins 62 ans) admissibles à conserver leur logement à loyer modéré en gelant le loyer. Les locataires paient le montant gelé du loyer. Un crédit d’impôt immobilier couvre la différence entre le montant réel du loyer et le montant gelé du loyer.
2nd rowيقوم الخصم الضريبي لرعاية الأطفال والمعالين بتعويضك في حالة قيامك بدفع تكاليف رعاية الطفل أو الرعاية المقدمة لأحد المعالين. عند مطالبتك بهذا الخصم أثناء تقديم الإقرارات الضريبية، يمكنك تخفيض الضرائب المستحقة عليك واحتمالية زيادة المبلغ المسترد لك.
3rd rowচাইল্ড অ্যান্ড ডিপেন্ডেন্ট কেয়ার ট্যাক্স ক্রেডিট আপনাকে ফেরত দেয় যদি আপনি শিশু পরিচর্যা (child care) বা নির্ভরশীল পরিচর্যার (dependent care) জন্য অর্থ প্রদান করেন ট্যাক্স রিটার্ন দাখিল করার সময় আপনি যখন এই ক্রেডিট দাবি করেন, আপনি আপনার পাওনা কর কমাতে পারেন এবং সম্ভাব্যভাবে আপনার ফেরত বাড়াতে পারেন।
4th row如果您支付子女照護或被扶養人照護費,子女眷屬扶養抵減稅額會為您報銷該費用。當您在提交納稅申報表時申請此稅額抵減,您可以降低需要繳交的稅款,且您的退稅額可能會增加。
5th rowThe Child and Dependent Care Tax Credit reimburses you if you paid for child care or care for an adult dependent. For tax year 2022, filers may be eligible to claim up to $3,000 of the cost of care services for one qualifying person and $6,000 for care services for two or more qualifying persons. You can then be reimbursed for up to 50% of these costs.
ValueCountFrequency (%)
de 590
 
1.6%
yo 268
 
0.7%
کے 238
 
0.7%
a 225
 
0.6%
les 206
 
0.6%
la 206
 
0.6%
w 179
 
0.5%
nyc 174
 
0.5%
ki 162
 
0.4%
and 162
 
0.4%
Other values (11254) 33773
93.3%
2023-12-09T20:32:04.463713image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35128
 
15.2%
e 11265
 
4.9%
a 9122
 
3.9%
o 7705
 
3.3%
n 7406
 
3.2%
i 6933
 
3.0%
s 6774
 
2.9%
r 6058
 
2.6%
t 5157
 
2.2%
ا 4077
 
1.8%
Other values (1479) 131741
56.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 120157
51.9%
Other Letter 53582
23.2%
Space Separator 35194
 
15.2%
Uppercase Letter 7414
 
3.2%
Other Punctuation 4964
 
2.1%
Spacing Mark 4271
 
1.8%
Nonspacing Mark 2136
 
0.9%
Decimal Number 1669
 
0.7%
Open Punctuation 560
 
0.2%
Close Punctuation 550
 
0.2%
Other values (7) 869
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 4077
 
7.6%
ل 2566
 
4.8%
م 2072
 
3.9%
و 1821
 
3.4%
ر 1817
 
3.4%
1642
 
3.1%
ی 1554
 
2.9%
ن 1453
 
2.7%
ت 1350
 
2.5%
ک 1198
 
2.2%
Other values (1271) 34032
63.5%
Lowercase Letter
ValueCountFrequency (%)
e 11265
 
9.4%
a 9122
 
7.6%
o 7705
 
6.4%
n 7406
 
6.2%
i 6933
 
5.8%
s 6774
 
5.6%
r 6058
 
5.0%
t 5157
 
4.3%
d 3904
 
3.2%
l 3875
 
3.2%
Other values (69) 51958
43.2%
Uppercase Letter
ValueCountFrequency (%)
C 910
12.3%
S 684
 
9.2%
N 607
 
8.2%
Y 580
 
7.8%
A 563
 
7.6%
E 491
 
6.6%
P 452
 
6.1%
H 408
 
5.5%
L 295
 
4.0%
I 284
 
3.8%
Other values (43) 2140
28.9%
Other Punctuation
ValueCountFrequency (%)
. 1865
37.6%
, 1351
27.2%
/ 526
 
10.6%
، 204
 
4.1%
۔ 190
 
3.8%
187
 
3.8%
175
 
3.5%
: 120
 
2.4%
95
 
1.9%
74
 
1.5%
Other values (10) 177
 
3.6%
Nonspacing Mark
ValueCountFrequency (%)
1343
62.9%
303
 
14.2%
287
 
13.4%
ً 66
 
3.1%
56
 
2.6%
26
 
1.2%
ُ 19
 
0.9%
ّ 12
 
0.6%
12
 
0.6%
َ 6
 
0.3%
Other values (2) 6
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 342
20.5%
1 324
19.4%
2 318
19.1%
9 130
 
7.8%
4 112
 
6.7%
3 109
 
6.5%
6 109
 
6.5%
8 96
 
5.8%
5 75
 
4.5%
7 54
 
3.2%
Spacing Mark
ValueCountFrequency (%)
1699
39.8%
1161
27.2%
ি 971
22.7%
152
 
3.6%
150
 
3.5%
125
 
2.9%
10
 
0.2%
2
 
< 0.1%
1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 538
96.1%
11
 
2.0%
8
 
1.4%
2
 
0.4%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 539
98.0%
8
 
1.5%
2
 
0.4%
] 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 513
95.9%
11
 
2.1%
10
 
1.9%
1
 
0.2%
Final Punctuation
ValueCountFrequency (%)
174
87.4%
14
 
7.0%
» 11
 
5.5%
Space Separator
ValueCountFrequency (%)
35128
99.8%
  66
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 57
90.5%
~ 6
 
9.5%
Initial Punctuation
ValueCountFrequency (%)
« 11
78.6%
3
 
21.4%
Currency Symbol
ValueCountFrequency (%)
$ 47
100.0%
Other Number
ValueCountFrequency (%)
10
100.0%
Format
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 106272
45.9%
Common 43605
18.8%
Arabic 31241
 
13.5%
Cyrillic 21305
 
9.2%
Bengali 16637
 
7.2%
Hangul 7033
 
3.0%
Han 5164
 
2.2%
Inherited 109
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
189
 
3.7%
97
 
1.9%
69
 
1.3%
68
 
1.3%
65
 
1.3%
62
 
1.2%
61
 
1.2%
61
 
1.2%
59
 
1.1%
58
 
1.1%
Other values (749) 4375
84.7%
Hangul
ValueCountFrequency (%)
211
 
3.0%
206
 
2.9%
202
 
2.9%
190
 
2.7%
156
 
2.2%
152
 
2.2%
116
 
1.6%
115
 
1.6%
112
 
1.6%
108
 
1.5%
Other values (423) 5465
77.7%
Latin
ValueCountFrequency (%)
e 11265
 
10.6%
a 9122
 
8.6%
o 7705
 
7.3%
n 7406
 
7.0%
i 6933
 
6.5%
s 6774
 
6.4%
r 6058
 
5.7%
t 5157
 
4.9%
d 3904
 
3.7%
l 3875
 
3.6%
Other values (69) 38073
35.8%
Bengali
ValueCountFrequency (%)
1699
 
10.2%
1642
 
9.9%
1343
 
8.1%
1161
 
7.0%
ি 971
 
5.8%
867
 
5.2%
783
 
4.7%
770
 
4.6%
642
 
3.9%
626
 
3.8%
Other values (46) 6133
36.9%
Cyrillic
ValueCountFrequency (%)
о 2300
 
10.8%
и 1675
 
7.9%
е 1655
 
7.8%
а 1600
 
7.5%
т 1381
 
6.5%
н 1153
 
5.4%
р 1038
 
4.9%
с 1017
 
4.8%
л 900
 
4.2%
м 864
 
4.1%
Other values (44) 7722
36.2%
Common
ValueCountFrequency (%)
35128
80.6%
. 1865
 
4.3%
, 1351
 
3.1%
) 539
 
1.2%
( 538
 
1.2%
/ 526
 
1.2%
- 513
 
1.2%
0 342
 
0.8%
1 324
 
0.7%
2 318
 
0.7%
Other values (42) 2161
 
5.0%
Arabic
ValueCountFrequency (%)
ا 4077
 
13.1%
ل 2566
 
8.2%
م 2072
 
6.6%
و 1821
 
5.8%
ر 1817
 
5.8%
ی 1554
 
5.0%
ن 1453
 
4.7%
ت 1350
 
4.3%
ک 1198
 
3.8%
ي 1175
 
3.8%
Other values (40) 12158
38.9%
Inherited
ValueCountFrequency (%)
ً 66
60.6%
ُ 19
 
17.4%
ّ 12
 
11.0%
َ 6
 
5.5%
ِ 4
 
3.7%
ٍ 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 145961
63.1%
Arabic 31554
 
13.6%
Cyrillic 21305
 
9.2%
Bengali 16637
 
7.2%
Hangul 7033
 
3.0%
CJK 5164
 
2.2%
None 3312
 
1.4%
Punctuation 225
 
0.1%
Devanagari 175
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35128
24.1%
e 11265
 
7.7%
a 9122
 
6.2%
o 7705
 
5.3%
n 7406
 
5.1%
i 6933
 
4.7%
s 6774
 
4.6%
r 6058
 
4.2%
t 5157
 
3.5%
d 3904
 
2.7%
Other values (72) 46509
31.9%
Arabic
ValueCountFrequency (%)
ا 4077
 
12.9%
ل 2566
 
8.1%
م 2072
 
6.6%
و 1821
 
5.8%
ر 1817
 
5.8%
ی 1554
 
4.9%
ن 1453
 
4.6%
ت 1350
 
4.3%
ک 1198
 
3.8%
ي 1175
 
3.7%
Other values (47) 12471
39.5%
Cyrillic
ValueCountFrequency (%)
о 2300
 
10.8%
и 1675
 
7.9%
е 1655
 
7.8%
а 1600
 
7.5%
т 1381
 
6.5%
н 1153
 
5.4%
р 1038
 
4.9%
с 1017
 
4.8%
л 900
 
4.2%
м 864
 
4.1%
Other values (44) 7722
36.2%
Bengali
ValueCountFrequency (%)
1699
 
10.2%
1642
 
9.9%
1343
 
8.1%
1161
 
7.0%
ি 971
 
5.8%
867
 
5.2%
783
 
4.7%
770
 
4.6%
642
 
3.9%
626
 
3.8%
Other values (46) 6133
36.9%
None
ValueCountFrequency (%)
é 545
16.5%
è 410
12.4%
ó 281
 
8.5%
ą 263
 
7.9%
ł 240
 
7.2%
187
 
5.6%
ę 161
 
4.9%
ż 156
 
4.7%
à 131
 
4.0%
ò 131
 
4.0%
Other values (29) 807
24.4%
Hangul
ValueCountFrequency (%)
211
 
3.0%
206
 
2.9%
202
 
2.9%
190
 
2.7%
156
 
2.2%
152
 
2.2%
116
 
1.6%
115
 
1.6%
112
 
1.6%
108
 
1.5%
Other values (423) 5465
77.7%
CJK
ValueCountFrequency (%)
189
 
3.7%
97
 
1.9%
69
 
1.3%
68
 
1.3%
65
 
1.3%
62
 
1.2%
61
 
1.2%
61
 
1.2%
59
 
1.1%
58
 
1.1%
Other values (749) 4375
84.7%
Devanagari
ValueCountFrequency (%)
175
100.0%
Punctuation
ValueCountFrequency (%)
174
77.3%
14
 
6.2%
11
 
4.9%
11
 
4.9%
10
 
4.4%
3
 
1.3%
1
 
0.4%
1
 
0.4%
Distinct994
Distinct (%)99.5%
Missing1
Missing (%)0.1%
Memory size227.2 KiB
2023-12-09T20:32:04.884508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length299
Median length160
Mean length93.37437437
Min length11

Characters and Unicode

Total characters93281
Distinct characters1137
Distinct categories16 ?
Distinct scripts8 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique989 ?
Unique (%)99.0%

Sample

1st rowUn programme de gel des loyers visant à aider les New-Yorkais à conserver leur logement
2nd rowالخصم الضريبي للأشخاص الذين دفعوا لشخص ما نظير رعاية معاليهم حتى يتسنى لهم العمل أو البحث عن عمل.
3rd rowট্যাক্স ক্রেডিট এমন ব্যক্তিদের জন্য যারা তাদের নির্ভরশীলদের পরিচর্যার জন্য কাউকে অর্থ প্রদান করে যাতে তারা কাজ করতে পারে বা কাজের সন্ধান করতে পারে।
4th row對於付款給他人以照護其受撫養人才能工作或找工作的個人,可申請抵減稅額。
5th rowTax credit for if you paid someone to care for your children or dependents while you were working or looking for work.
ValueCountFrequency (%)
de 248
 
1.6%
کے 144
 
0.9%
les 113
 
0.7%
yo 107
 
0.7%
pou 95
 
0.6%
ki 84
 
0.6%
la 79
 
0.5%
a 77
 
0.5%
и 76
 
0.5%
and 74
 
0.5%
Other values (6036) 14100
92.8%
2023-12-09T20:32:05.489744image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14181
 
15.2%
e 4310
 
4.6%
a 3788
 
4.1%
o 3020
 
3.2%
n 2982
 
3.2%
i 2851
 
3.1%
s 2649
 
2.8%
r 2291
 
2.5%
t 1915
 
2.1%
ا 1729
 
1.9%
Other values (1127) 53565
57.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 48102
51.6%
Other Letter 22901
24.6%
Space Separator 14198
 
15.2%
Uppercase Letter 2285
 
2.4%
Spacing Mark 1816
 
1.9%
Other Punctuation 1723
 
1.8%
Nonspacing Mark 1001
 
1.1%
Decimal Number 780
 
0.8%
Dash Punctuation 173
 
0.2%
Open Punctuation 78
 
0.1%
Other values (6) 224
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 1729
 
7.5%
ل 1163
 
5.1%
م 862
 
3.8%
و 783
 
3.4%
ر 742
 
3.2%
718
 
3.1%
ن 646
 
2.8%
ی 592
 
2.6%
ت 520
 
2.3%
ک 518
 
2.3%
Other values (935) 14628
63.9%
Lowercase Letter
ValueCountFrequency (%)
e 4310
 
9.0%
a 3788
 
7.9%
o 3020
 
6.3%
n 2982
 
6.2%
i 2851
 
5.9%
s 2649
 
5.5%
r 2291
 
4.8%
t 1915
 
4.0%
d 1531
 
3.2%
l 1510
 
3.1%
Other values (69) 21255
44.2%
Uppercase Letter
ValueCountFrequency (%)
S 264
 
11.6%
C 202
 
8.8%
N 199
 
8.7%
Y 184
 
8.1%
A 151
 
6.6%
E 137
 
6.0%
P 129
 
5.6%
H 121
 
5.3%
L 103
 
4.5%
D 85
 
3.7%
Other values (42) 710
31.1%
Other Punctuation
ValueCountFrequency (%)
. 725
42.1%
, 527
30.6%
، 91
 
5.3%
89
 
5.2%
۔ 87
 
5.0%
86
 
5.0%
38
 
2.2%
37
 
2.1%
' 20
 
1.2%
% 10
 
0.6%
Other values (3) 13
 
0.8%
Nonspacing Mark
ValueCountFrequency (%)
673
67.2%
127
 
12.7%
107
 
10.7%
31
 
3.1%
ً 24
 
2.4%
17
 
1.7%
7
 
0.7%
ُ 7
 
0.7%
ّ 4
 
0.4%
َ 2
 
0.2%
Other values (2) 2
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 189
24.2%
1 163
20.9%
2 153
19.6%
8 56
 
7.2%
6 54
 
6.9%
9 44
 
5.6%
5 36
 
4.6%
3 32
 
4.1%
4 32
 
4.1%
7 21
 
2.7%
Spacing Mark
ValueCountFrequency (%)
751
41.4%
504
27.8%
ি 388
21.4%
76
 
4.2%
55
 
3.0%
38
 
2.1%
2
 
0.1%
2
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 167
96.5%
3
 
1.7%
3
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 74
94.9%
2
 
2.6%
2
 
2.6%
Final Punctuation
ValueCountFrequency (%)
71
92.2%
» 4
 
5.2%
2
 
2.6%
Space Separator
ValueCountFrequency (%)
14181
99.9%
  17
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 74
97.4%
2
 
2.6%
Math Symbol
ValueCountFrequency (%)
+ 10
90.9%
~ 1
 
9.1%
Currency Symbol
ValueCountFrequency (%)
$ 53
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 4
100.0%
Other Number
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 41231
44.2%
Common 17086
18.3%
Arabic 13193
 
14.1%
Cyrillic 9158
 
9.8%
Bengali 7278
 
7.8%
Hangul 2991
 
3.2%
Han 2305
 
2.5%
Inherited 39
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
92
 
4.0%
44
 
1.9%
37
 
1.6%
37
 
1.6%
35
 
1.5%
34
 
1.5%
28
 
1.2%
27
 
1.2%
26
 
1.1%
26
 
1.1%
Other values (521) 1919
83.3%
Hangul
ValueCountFrequency (%)
81
 
2.7%
74
 
2.5%
72
 
2.4%
67
 
2.2%
62
 
2.1%
59
 
2.0%
55
 
1.8%
50
 
1.7%
50
 
1.7%
49
 
1.6%
Other values (317) 2372
79.3%
Latin
ValueCountFrequency (%)
e 4310
 
10.5%
a 3788
 
9.2%
o 3020
 
7.3%
n 2982
 
7.2%
i 2851
 
6.9%
s 2649
 
6.4%
r 2291
 
5.6%
t 1915
 
4.6%
d 1531
 
3.7%
l 1510
 
3.7%
Other values (67) 14384
34.9%
Cyrillic
ValueCountFrequency (%)
о 1010
 
11.0%
е 756
 
8.3%
и 694
 
7.6%
а 624
 
6.8%
т 568
 
6.2%
н 516
 
5.6%
с 460
 
5.0%
л 407
 
4.4%
р 402
 
4.4%
в 357
 
3.9%
Other values (45) 3364
36.7%
Bengali
ValueCountFrequency (%)
751
 
10.3%
718
 
9.9%
673
 
9.2%
504
 
6.9%
ি 388
 
5.3%
379
 
5.2%
360
 
4.9%
357
 
4.9%
299
 
4.1%
299
 
4.1%
Other values (43) 2550
35.0%
Arabic
ValueCountFrequency (%)
ا 1729
 
13.1%
ل 1163
 
8.8%
م 862
 
6.5%
و 783
 
5.9%
ر 742
 
5.6%
ن 646
 
4.9%
ی 592
 
4.5%
ت 520
 
3.9%
ک 518
 
3.9%
ي 485
 
3.7%
Other values (39) 5153
39.1%
Common
ValueCountFrequency (%)
14181
83.0%
. 725
 
4.2%
, 527
 
3.1%
0 189
 
1.1%
- 167
 
1.0%
1 163
 
1.0%
2 153
 
0.9%
، 91
 
0.5%
89
 
0.5%
86
 
0.5%
Other values (29) 715
 
4.2%
Inherited
ValueCountFrequency (%)
ً 24
61.5%
ُ 7
 
17.9%
ّ 4
 
10.3%
َ 2
 
5.1%
ٰ 1
 
2.6%
ِ 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56659
60.7%
Arabic 13323
 
14.3%
Cyrillic 9158
 
9.8%
Bengali 7278
 
7.8%
Hangul 2991
 
3.2%
CJK 2305
 
2.5%
None 1400
 
1.5%
Devanagari 86
 
0.1%
Punctuation 81
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14181
25.0%
e 4310
 
7.6%
a 3788
 
6.7%
o 3020
 
5.3%
n 2982
 
5.3%
i 2851
 
5.0%
s 2649
 
4.7%
r 2291
 
4.0%
t 1915
 
3.4%
d 1531
 
2.7%
Other values (65) 17141
30.3%
Arabic
ValueCountFrequency (%)
ا 1729
 
13.0%
ل 1163
 
8.7%
م 862
 
6.5%
و 783
 
5.9%
ر 742
 
5.6%
ن 646
 
4.8%
ی 592
 
4.4%
ت 520
 
3.9%
ک 518
 
3.9%
ي 485
 
3.6%
Other values (46) 5283
39.7%
Cyrillic
ValueCountFrequency (%)
о 1010
 
11.0%
е 756
 
8.3%
и 694
 
7.6%
а 624
 
6.8%
т 568
 
6.2%
н 516
 
5.6%
с 460
 
5.0%
л 407
 
4.4%
р 402
 
4.4%
в 357
 
3.9%
Other values (45) 3364
36.7%
Bengali
ValueCountFrequency (%)
751
 
10.3%
718
 
9.9%
673
 
9.2%
504
 
6.9%
ি 388
 
5.3%
379
 
5.2%
360
 
4.9%
357
 
4.9%
299
 
4.1%
299
 
4.1%
Other values (43) 2550
35.0%
None
ValueCountFrequency (%)
é 228
16.3%
è 190
13.6%
ó 126
 
9.0%
ł 102
 
7.3%
89
 
6.4%
ą 85
 
6.1%
à 68
 
4.9%
ę 64
 
4.6%
ż 60
 
4.3%
ś 58
 
4.1%
Other values (24) 330
23.6%
CJK
ValueCountFrequency (%)
92
 
4.0%
44
 
1.9%
37
 
1.6%
37
 
1.6%
35
 
1.5%
34
 
1.5%
28
 
1.2%
27
 
1.2%
26
 
1.1%
26
 
1.1%
Other values (521) 1919
83.3%
Devanagari
ValueCountFrequency (%)
86
100.0%
Hangul
ValueCountFrequency (%)
81
 
2.7%
74
 
2.5%
72
 
2.4%
67
 
2.2%
62
 
2.1%
59
 
2.0%
55
 
1.8%
50
 
1.7%
50
 
1.7%
49
 
1.6%
Other values (317) 2372
79.3%
Punctuation
ValueCountFrequency (%)
71
87.7%
3
 
3.7%
3
 
3.7%
2
 
2.5%
2
 
2.5%

heads_up
Text

MISSING 

Distinct974
Distinct (%)100.0%
Missing26
Missing (%)2.6%
Memory size1.1 MiB
2023-12-09T20:32:05.880404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2422
Median length861
Mean length633.6221766
Min length39

Characters and Unicode

Total characters617148
Distinct characters1817
Distinct categories20 ?
Distinct scripts8 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique974 ?
Unique (%)100.0%

Sample

1st row\nVous pouvez continuer à payer le même montant de loyer à l’avenir comme c’est le cas maintenant si vous déposez une demande pour le programme SCRIE et si vous la renouvelez à temps.\nLes citoyens seniors qui vivent dans certaines locations ou certains logements sociaux peuvent être admissibles au programme SCRIE.\nVous pouvez être admissible au programme SCRIE même sans avoir effectué de déclaration de revenus.\nVous n’avez pas besoin d’une autorisation de votre propriétaire pour déposer une demande.\nUne fois la demande déposée, cela prend environ 10-15 jours pour recevoir une réponse.\nLe programme de gel des loyers de la ville de New York (NYC Rent Freeze) inclut également l' (https://access.nyc.gov/programs/disability-rent-increase-exemption-drie/) Exemption à l’augmentation des loyers des personnes handicapées (Disability Rent Increase Exemption, DRIE).
2nd row\nبادر بتقديم إقرارك الضريبي الفيدرالي والخاص بولاية نيويورك لعام 2021 بحلول 18 أبريل 2022 للمطالبة بالخصم الضريبي.\nبالنسبة لعام 2021، تصل قيمة هذا الخصم الضريبي إلى:\n4,000 دولار للمعال الواحد؛ أو\n8,000 دولار للمعالين الاثنين أو أكثر.\nيمكنك المطالبة بالخصم إذا كانت لديك نفقات متعلقة بالعمل. هذه هي النفقات التي دفعتها لرعاية أحد المعالين حتى يمكنك العمل أو البحث عن عمل.\nويتمثل أحد الأمثلة في دفع أجر لشخص أو منظمة نظير الاعتناء بطفلك.
3rd row\nক্রেডিট দাবি করতে 18 এপ্রিল, 2022 এর মধ্যে একটি ফেডারেল এবং নিউ ইয়র্ক স্টেট 2021 ট্যাক্স রিটার্ন ফাইল করুন।\n2021-এর জন্য, এই ট্যাক্স ক্রেডিট এর মূল্য:\nএকজন নির্ভরশীল ব্যক্তির জন্য $4,000 পর্যন্ত; বা\nদুই বা ততোধিক নির্ভরশীল ব্যক্তিদের জন্য $8,000 পর্যন্ত।\nআপনার কাজের সাথে সম্পর্কিত খরচ থাকলে আপনি ক্রেডিট দাবি করতে পারেন। এগুলি এমন খরচ যা আপনি একজন নির্ভরশীলের পরিচর্যার জন্য প্রদান করেছেন যাতে আপনি কাজ করতে বা কাজের সন্ধান করতে পারেন।\nউদাহরণস্বরূপ আপনার শিশু সন্তানের দেখাশোনার জন্য কাউকে বা একটি সংস্থাকে অর্থ প্রদান করা।
4th row\n請在 2022 年 4 月 18 日以前提交聯邦和紐約州 2021 年報稅表,以取得抵減稅額。\n2021 年的抵減稅額可能高達:\n一位受撫養人可領取 $4,000;或者\n二位或以上受撫養人可領取 $8,000。\n如果您有工作相關的費用,您可以申請抵減稅額。這些是您為照顧受撫養人所支付的費用,以便您可以工作或尋找工作。\n其中一個範例是付款給某人或組織,以讓其照顧您的子女。
5th row\nFile a federal and New York State 2022 tax return by April 18, 2023 to claim the credit.\nWhen you file, include Form 2441 (https://www.irs.gov/pub/irs-pdf/f2441.pdf) with your U.S. Individual Income Tax Return Form 1040 (https://www.irs.gov/pub/irs-pdf/f1040.pdf)  or U.S. Nonresident Income Tax Return (https://www.irs.gov/forms-pubs/about-form-1040-nr) Form 1040NR.\nQualified expenses include money paid out of pocket for the care of a qualifying child or children while you work or look for work. \nThis includes the cost of care outside the home, such as at a day care center, or inside your home, such as a babysitter.\nWhen you claim this credit when filing a tax return, you can lower the taxes you owe and potentially increase your refund.
ValueCountFrequency (%)
de 1495
 
1.7%
کے 523
 
0.6%
la 496
 
0.6%
w 465
 
0.5%
کی 419
 
0.5%
a 411
 
0.5%
pou 377
 
0.4%
yo 376
 
0.4%
ou 373
 
0.4%
en 361
 
0.4%
Other values (24694) 80222
93.8%
2023-12-09T20:32:06.449699image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
84392
 
13.7%
e 31093
 
5.0%
n 26640
 
4.3%
a 25020
 
4.1%
o 20713
 
3.4%
i 19746
 
3.2%
s 18512
 
3.0%
t 16285
 
2.6%
r 15916
 
2.6%
l 10790
 
1.7%
Other values (1807) 348041
56.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 330923
53.6%
Other Letter 129207
 
20.9%
Space Separator 84567
 
13.7%
Other Punctuation 23950
 
3.9%
Uppercase Letter 17718
 
2.9%
Spacing Mark 10413
 
1.7%
Decimal Number 7427
 
1.2%
Nonspacing Mark 5345
 
0.9%
Dash Punctuation 2991
 
0.5%
Open Punctuation 1766
 
0.3%
Other values (10) 2841
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 9582
 
7.4%
ل 6158
 
4.8%
م 4487
 
3.5%
ر 4175
 
3.2%
ی 4072
 
3.2%
3997
 
3.1%
و 3889
 
3.0%
ت 3477
 
2.7%
ن 3368
 
2.6%
ک 2793
 
2.2%
Other values (1576) 83209
64.4%
Lowercase Letter
ValueCountFrequency (%)
e 31093
 
9.4%
n 26640
 
8.1%
a 25020
 
7.6%
o 20713
 
6.3%
i 19746
 
6.0%
s 18512
 
5.6%
t 16285
 
4.9%
r 15916
 
4.8%
l 10790
 
3.3%
d 10729
 
3.2%
Other values (73) 135479
40.9%
Uppercase Letter
ValueCountFrequency (%)
C 1942
 
11.0%
S 1710
 
9.7%
E 1317
 
7.4%
A 1221
 
6.9%
N 1143
 
6.5%
Y 1079
 
6.1%
P 996
 
5.6%
D 827
 
4.7%
I 812
 
4.6%
H 792
 
4.5%
Other values (47) 5879
33.2%
Other Punctuation
ValueCountFrequency (%)
\ 6501
27.1%
. 5935
24.8%
/ 4210
17.6%
, 3032
12.7%
: 1481
 
6.2%
، 501
 
2.1%
449
 
1.9%
۔ 421
 
1.8%
379
 
1.6%
283
 
1.2%
Other values (18) 758
 
3.2%
Nonspacing Mark
ValueCountFrequency (%)
3410
63.8%
812
 
15.2%
696
 
13.0%
ً 194
 
3.6%
102
 
1.9%
39
 
0.7%
ُ 26
 
0.5%
23
 
0.4%
ِ 16
 
0.3%
ّ 12
 
0.2%
Other values (3) 15
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 1712
23.1%
0 1493
20.1%
1 1373
18.5%
3 548
 
7.4%
5 481
 
6.5%
6 476
 
6.4%
8 459
 
6.2%
9 317
 
4.3%
4 302
 
4.1%
7 266
 
3.6%
Spacing Mark
ValueCountFrequency (%)
3998
38.4%
2950
28.3%
ি 2389
22.9%
415
 
4.0%
319
 
3.1%
312
 
3.0%
14
 
0.1%
14
 
0.1%
2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1725
97.7%
19
 
1.1%
15
 
0.8%
3
 
0.2%
2
 
0.1%
[ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1724
98.0%
19
 
1.1%
15
 
0.9%
2
 
0.1%
Math Symbol
ValueCountFrequency (%)
| 66
42.0%
+ 41
26.1%
= 33
21.0%
~ 17
 
10.8%
Dash Punctuation
ValueCountFrequency (%)
- 2910
97.3%
60
 
2.0%
21
 
0.7%
Final Punctuation
ValueCountFrequency (%)
479
94.7%
» 21
 
4.2%
6
 
1.2%
Space Separator
ValueCountFrequency (%)
84392
99.8%
  175
 
0.2%
Format
ValueCountFrequency (%)
22
88.0%
3
 
12.0%
Initial Punctuation
ValueCountFrequency (%)
« 21
87.5%
3
 
12.5%
Currency Symbol
ValueCountFrequency (%)
$ 203
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 110
100.0%
Other Number
ValueCountFrequency (%)
52
100.0%
Modifier Letter
ValueCountFrequency (%)
ـ 3
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 297991
48.3%
Common 123068
19.9%
Arabic 74134
 
12.0%
Cyrillic 50651
 
8.2%
Bengali 41910
 
6.8%
Hangul 16476
 
2.7%
Han 12655
 
2.1%
Inherited 263
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
402
 
3.2%
280
 
2.2%
214
 
1.7%
173
 
1.4%
131
 
1.0%
126
 
1.0%
123
 
1.0%
117
 
0.9%
115
 
0.9%
112
 
0.9%
Other values (972) 10862
85.8%
Hangul
ValueCountFrequency (%)
546
 
3.3%
479
 
2.9%
381
 
2.3%
356
 
2.2%
345
 
2.1%
333
 
2.0%
269
 
1.6%
269
 
1.6%
263
 
1.6%
260
 
1.6%
Other values (506) 12975
78.8%
Latin
ValueCountFrequency (%)
e 31093
 
10.4%
n 26640
 
8.9%
a 25020
 
8.4%
o 20713
 
7.0%
i 19746
 
6.6%
s 18512
 
6.2%
t 16285
 
5.5%
r 15916
 
5.3%
l 10790
 
3.6%
d 10729
 
3.6%
Other values (74) 102547
34.4%
Common
ValueCountFrequency (%)
84392
68.6%
\ 6501
 
5.3%
. 5935
 
4.8%
/ 4210
 
3.4%
, 3032
 
2.5%
- 2910
 
2.4%
( 1725
 
1.4%
) 1724
 
1.4%
2 1712
 
1.4%
0 1493
 
1.2%
Other values (56) 9434
 
7.7%
Cyrillic
ValueCountFrequency (%)
о 5425
 
10.7%
е 4277
 
8.4%
а 3879
 
7.7%
и 3793
 
7.5%
т 3139
 
6.2%
н 3035
 
6.0%
р 2575
 
5.1%
с 2441
 
4.8%
в 2169
 
4.3%
л 2165
 
4.3%
Other values (47) 17753
35.0%
Bengali
ValueCountFrequency (%)
3998
 
9.5%
3997
 
9.5%
3410
 
8.1%
2950
 
7.0%
2470
 
5.9%
ি 2389
 
5.7%
2127
 
5.1%
1938
 
4.6%
1714
 
4.1%
1683
 
4.0%
Other values (45) 15234
36.3%
Arabic
ValueCountFrequency (%)
ا 9582
 
12.9%
ل 6158
 
8.3%
م 4487
 
6.1%
ر 4175
 
5.6%
ی 4072
 
5.5%
و 3889
 
5.2%
ت 3477
 
4.7%
ن 3368
 
4.5%
ک 2793
 
3.8%
ي 2602
 
3.5%
Other values (40) 29531
39.8%
Inherited
ValueCountFrequency (%)
ً 194
73.8%
ُ 26
 
9.9%
ِ 16
 
6.1%
ّ 12
 
4.6%
َ 8
 
3.0%
ٰ 6
 
2.3%
ٍ 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 411137
66.6%
Arabic 74911
 
12.1%
Cyrillic 50651
 
8.2%
Bengali 41910
 
6.8%
Hangul 16476
 
2.7%
CJK 12655
 
2.1%
None 8431
 
1.4%
Punctuation 597
 
0.1%
Devanagari 379
 
0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
84392
20.5%
e 31093
 
7.6%
n 26640
 
6.5%
a 25020
 
6.1%
o 20713
 
5.0%
i 19746
 
4.8%
s 18512
 
4.5%
t 16285
 
4.0%
r 15916
 
3.9%
l 10790
 
2.6%
Other values (77) 142030
34.5%
Arabic
ValueCountFrequency (%)
ا 9582
 
12.8%
ل 6158
 
8.2%
م 4487
 
6.0%
ر 4175
 
5.6%
ی 4072
 
5.4%
و 3889
 
5.2%
ت 3477
 
4.6%
ن 3368
 
4.5%
ک 2793
 
3.7%
ي 2602
 
3.5%
Other values (50) 30308
40.5%
Cyrillic
ValueCountFrequency (%)
о 5425
 
10.7%
е 4277
 
8.4%
а 3879
 
7.7%
и 3793
 
7.5%
т 3139
 
6.2%
н 3035
 
6.0%
р 2575
 
5.1%
с 2441
 
4.8%
в 2169
 
4.3%
л 2165
 
4.3%
Other values (47) 17753
35.0%
Bengali
ValueCountFrequency (%)
3998
 
9.5%
3997
 
9.5%
3410
 
8.1%
2950
 
7.0%
2470
 
5.9%
ি 2389
 
5.7%
2127
 
5.1%
1938
 
4.6%
1714
 
4.1%
1683
 
4.0%
Other values (45) 15234
36.3%
None
ValueCountFrequency (%)
é 1318
15.6%
è 1002
11.9%
ó 680
 
8.1%
ł 590
 
7.0%
ą 561
 
6.7%
ę 519
 
6.2%
449
 
5.3%
ż 448
 
5.3%
ś 385
 
4.6%
ć 323
 
3.8%
Other values (40) 2156
25.6%
Hangul
ValueCountFrequency (%)
546
 
3.3%
479
 
2.9%
381
 
2.3%
356
 
2.2%
345
 
2.1%
333
 
2.0%
269
 
1.6%
269
 
1.6%
263
 
1.6%
260
 
1.6%
Other values (506) 12975
78.8%
Punctuation
ValueCountFrequency (%)
479
80.2%
60
 
10.1%
22
 
3.7%
21
 
3.5%
6
 
1.0%
3
 
0.5%
3
 
0.5%
3
 
0.5%
CJK
ValueCountFrequency (%)
402
 
3.2%
280
 
2.2%
214
 
1.7%
173
 
1.4%
131
 
1.0%
126
 
1.0%
123
 
1.0%
117
 
0.9%
115
 
0.9%
112
 
0.9%
Other values (972) 10862
85.8%
Devanagari
ValueCountFrequency (%)
379
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct965
Distinct (%)99.9%
Missing34
Missing (%)3.4%
Memory size774.1 KiB
2023-12-09T20:32:06.948221image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1971
Median length629.5
Mean length429.1283644
Min length17

Characters and Unicode

Total characters414538
Distinct characters1510
Distinct categories19 ?
Distinct scripts8 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique964 ?
Unique (%)99.8%

Sample

1st rowPour être éligible à SCRIE, vous devez pouvoir répondre « Yes » (Oui) à toutes les questions suivantes :\nÊtes-vous âgé de 62 ans ou plus ?\nVotre nom est-il sur le bail ?\nLes revenus annuels totaux de votre foyer sont-ils de 50 000 $ US ou moins ?\nVotre loyer représente-t-il plus d'un tiers de vos revenus mensuels ?\nHabitez-vous dans la ville de New York dans l'un de ces types de logement ?\nun appartement dont le loyer est réglementé selon le système « rent stabilization »\nun appartement dont le loyer est réglementé selon le système « rent control »\nun appartement de type « Rent Regulated Hotels, Single Room Occupancy Unit (SRO) »\nun lotissement Mitchell-Lama\nune société immobilière de redéveloppement à dividendes limités\nun lotissement d'une société de redéveloppement\nun lotissement d'une Housing Development Fund Company (société de fonds de développement immobilier)
2nd rowلكي تكون مؤهلاً للحصول على إعفاء ضريبي لرعاية طفل ومعال، ينبغي أن تكون إجابتك بـ "نعم" على هذه الأسئلة:\nهل تدفع أجرًا لشخص أو منظمة لرعاية من تعولهم للسماح لك (وزوجك/زوجتك، في حالة تقديم إقرار ضريبي مشترك) بالعمل أو البحث عن عمل؟ المعالون المؤهلون هم:\nطفل أقل من 13 عامًا وقت الحصول على الرعاية؛ أو\nزوج/ زوجة أو معال لا يمكنه الاعتناء بنفسه جسديًا أو عقليًا.\nهل يعيش الشخص المعال معك لمدة تتجاوز نصف السنة الضريبية؟\nهل تكسب أنت (وزوجك/ زوجتك إذا قدمت إقرار ضريبي مشترك) دخلاً؟ قد يكون هذا الدخل مستمدًا من الأجور أو المرتبات أو الإكراميات أو أموال الموظفين الأخرى الخاضعة للضريبة أو الأرباح من العمل الحر.\nهل حالة تقديم الإقرار الضريبي الخاص خاصة بأعزب أم إقرار مشترك لمتزوج أم المسؤول عن أسرة أم أرمل (أرملة) مؤهل يعول طفلاً؟\nإذا كنت متزوجًا، فهل تعمل أنت وزوجك/ زوجتك خارج المنزل؟\nأو، هل تعمل أنت وزوجك/ زوجتك خارج المنزل، في الوقت الذي يكون فيه تلميذًا بدوام كامل، أو لديه إعاقة، أو يبحث عن عمل؟
3rd rowচাইল্ড অ্যান্ড ডিপেন্ডেন্ট কেয়ার ট্যাক্স ক্রেডিট পাওয়ার যোগ্য হওয়ার জন্য, আপনাকে এই প্রশ্নগুলির হ্যাঁ উত্তর দিতে সক্ষম হতে হবে:\nআপনি কি কোন ব্যক্তি অথবা প্রতিষ্ঠানকে আপনার নির্ভরশীলের পরিচর্যার জন্য অর্থ প্রদান করেন যাতে আপনি (এবং আপনার স্বামী অথবা স্ত্রী, যদি একটি যুগ্ম রিটার্ন জমা করেন) কাজে অথবা কাজের অনুসন্ধানে যেতে পারেন? যোগ্যতা অর্জনকারী নির্ভরশীলরা হল:\nপরিচর্যার সময় 13 বছরের কম বয়সী একটি শিশু; বা\nএকজন স্বামী অথবা স্ত্রী বা নির্ভরশীল ব্যক্তি যিনি শারীরিক বা মানসিকভাবে নিজের পরিচর্যা করতে পারেন না।\nনির্ভরশীল ব্যক্তি কি অর্ধেকেরও বেশি কর বর্ষের জন্য আপনার সাথে বসবাস করেছিল?\nআপনি (এবং আপনার স্বামী অথবা স্ত্রী যদি যুগ্মভাবে কর জমা দেন) কি আয় করেন? এগুলি মজুরি, বেতন, টিপস, অন্যান্য করযোগ্য কর্মচারীর অর্থ বা স্ব-কর্মসংস্থান থেকে উপার্জন হতে পারে।আপনার কর প্রদানের স্থিতি কি একক, যুগ্মভাবে প্রদানকারী বিবাহিত, পরিবারের প্রধান অথবা একটি নির্ভরশীল সন্তান সহ যোগ্যতা অর্জনকারী বিধবা(বিপত্নীক)?\nযদি আপনি বিবাহিত হন, তাহলে আপনি এবং আপনার স্বামী অথবা স্ত্রী দুজনেই কি বাড়ির বাইরে কাজ করেন?\nঅথবা আপনারদের মধ্যে একজন কি বাড়ির বাইরে কাজ করেন যখন অন্যজন একজন পূর্ণ-সময়ের শিক্ষার্থী, একটি অক্ষমতা আছে, অথবা কাজের অনুসন্ধান করছেন?
4th row如果您對以下所有問題均回答「是」,即有資格享有子女眷屬扶養抵減稅額:\n您是否花錢僱傭他人或機構照顧您的受撫養人,讓您(若合併報稅,則包含您的配偶)得以工作或謀職?符合資格的受撫養人為:\n照顧時未滿 13 歲的子女;或是\n無法在身體上或心理上照護自己的配偶或受撫養人。\n授撫養人是否在納稅年度的一半時間以上和您居住在一起?\n您(若合併報稅,則包含您的配偶)是否有勞動所得?勞動所得可能是工資、薪資、小費、其他應納稅的員工所得或是自僱所得。\n您的報稅狀態是否為單身、已婚合併申報、戶主,或是育有受撫養子女的符合資格的喪偶者?\n如果您已婚,您和您配偶的工作地點是否皆非自宅?\n或者,是否你們中一人外出工作,而另一人為全職學生、身心障礙者或正在謀職?
5th rowTo be eligible for the Child and Dependent Care Tax Credit, you should be able to answer yes to these questions:\nDid you pay someone or an organization to care for your dependent so that you (and your spouse, if filing a joint return) could work or look for work? Qualifying dependents are:\na child under age 13 at the time of care; \na spouse or dependent who cannot physically or mentally care for themselves.\nDid the dependent live with you for more than half the tax year?\nDid you (and your spouse if you file taxes jointly) earn income? These can be from wages, salaries, tips, other taxable employee money, or earnings from self-employment.\nIs your tax filing status single, married filing jointly, head of household or qualifying widow(er) with a dependent child?\nIf you are married, do both you and your spouse work outside of the home?\nOr, do one of you work outside of the home while the other is a full-time student, has a disability, or is looking for work?
ValueCountFrequency (%)
de 1000
 
1.7%
ou 521
 
0.9%
کے 411
 
0.7%
a 327
 
0.5%
w 315
 
0.5%
pou 291
 
0.5%
آپ 291
 
0.5%
290
 
0.5%
в 285
 
0.5%
la 280
 
0.5%
Other values (15952) 55890
93.3%
2023-12-09T20:32:07.631474image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58797
 
14.2%
e 20039
 
4.8%
n 17349
 
4.2%
a 15164
 
3.7%
o 13585
 
3.3%
i 12691
 
3.1%
s 11219
 
2.7%
r 9481
 
2.3%
t 9439
 
2.3%
u 7150
 
1.7%
Other values (1500) 239624
57.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 210887
50.9%
Other Letter 85000
20.5%
Space Separator 58940
 
14.2%
Other Punctuation 16829
 
4.1%
Decimal Number 13358
 
3.2%
Uppercase Letter 11485
 
2.8%
Spacing Mark 6777
 
1.6%
Nonspacing Mark 3354
 
0.8%
Math Symbol 1710
 
0.4%
Currency Symbol 1570
 
0.4%
Other values (9) 4628
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 5961
 
7.0%
ل 3940
 
4.6%
م 2833
 
3.3%
ی 2796
 
3.3%
2486
 
2.9%
ر 2464
 
2.9%
و 2455
 
2.9%
ن 2403
 
2.8%
ت 1909
 
2.2%
ک 1902
 
2.2%
Other values (1268) 55851
65.7%
Lowercase Letter
ValueCountFrequency (%)
e 20039
 
9.5%
n 17349
 
8.2%
a 15164
 
7.2%
o 13585
 
6.4%
i 12691
 
6.0%
s 11219
 
5.3%
r 9481
 
4.5%
t 9439
 
4.5%
u 7150
 
3.4%
l 6990
 
3.3%
Other values (72) 87780
41.6%
Uppercase Letter
ValueCountFrequency (%)
C 1216
 
10.6%
S 1178
 
10.3%
A 992
 
8.6%
N 887
 
7.7%
Y 811
 
7.1%
P 775
 
6.7%
H 533
 
4.6%
E 516
 
4.5%
I 465
 
4.0%
T 442
 
3.8%
Other values (49) 3670
32.0%
Other Punctuation
ValueCountFrequency (%)
\ 4993
29.7%
, 2956
17.6%
. 2562
15.2%
/ 2185
13.0%
: 1088
 
6.5%
? 974
 
5.8%
، 293
 
1.7%
؟ 255
 
1.5%
182
 
1.1%
' 170
 
1.0%
Other values (17) 1171
 
7.0%
Nonspacing Mark
ValueCountFrequency (%)
2138
63.7%
511
 
15.2%
306
 
9.1%
ً 215
 
6.4%
55
 
1.6%
53
 
1.6%
ُ 29
 
0.9%
20
 
0.6%
ّ 8
 
0.2%
ِ 6
 
0.2%
Other values (4) 13
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 2278
17.1%
2 2185
16.4%
0 2162
16.2%
5 1130
8.5%
3 1011
7.6%
8 999
7.5%
6 975
7.3%
4 920
6.9%
7 858
 
6.4%
9 839
 
6.3%
Spacing Mark
ValueCountFrequency (%)
2437
36.0%
1857
27.4%
ি 1751
25.8%
326
 
4.8%
265
 
3.9%
122
 
1.8%
8
 
0.1%
8
 
0.1%
3
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1185
92.2%
34
 
2.6%
32
 
2.5%
26
 
2.0%
[ 8
 
0.6%
Math Symbol
ValueCountFrequency (%)
| 1616
94.5%
+ 75
 
4.4%
~ 18
 
1.1%
1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1180
94.0%
35
 
2.8%
32
 
2.5%
] 8
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 1476
96.7%
42
 
2.8%
9
 
0.6%
Final Punctuation
ValueCountFrequency (%)
280
76.5%
» 48
 
13.1%
38
 
10.4%
Initial Punctuation
ValueCountFrequency (%)
« 48
75.0%
12
 
18.8%
4
 
6.2%
Space Separator
ValueCountFrequency (%)
58797
99.8%
  143
 
0.2%
Format
ValueCountFrequency (%)
10
76.9%
3
 
23.1%
Currency Symbol
ValueCountFrequency (%)
$ 1570
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 90
100.0%
Other Number
ValueCountFrequency (%)
19
100.0%
Modifier Letter
ValueCountFrequency (%)
ـ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 187506
45.2%
Common 96867
23.4%
Arabic 48170
 
11.6%
Cyrillic 34876
 
8.4%
Bengali 27156
 
6.6%
Hangul 10858
 
2.6%
Han 8834
 
2.1%
Inherited 271
 
0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
312
 
3.5%
311
 
3.5%
191
 
2.2%
178
 
2.0%
178
 
2.0%
131
 
1.5%
121
 
1.4%
120
 
1.4%
117
 
1.3%
117
 
1.3%
Other values (740) 7058
79.9%
Hangul
ValueCountFrequency (%)
386
 
3.6%
335
 
3.1%
300
 
2.8%
282
 
2.6%
272
 
2.5%
264
 
2.4%
236
 
2.2%
199
 
1.8%
195
 
1.8%
160
 
1.5%
Other values (420) 8229
75.8%
Latin
ValueCountFrequency (%)
e 20039
 
10.7%
n 17349
 
9.3%
a 15164
 
8.1%
o 13585
 
7.2%
i 12691
 
6.8%
s 11219
 
6.0%
r 9481
 
5.1%
t 9439
 
5.0%
u 7150
 
3.8%
l 6990
 
3.7%
Other values (72) 64399
34.3%
Common
ValueCountFrequency (%)
58797
60.7%
\ 4993
 
5.2%
, 2956
 
3.1%
. 2562
 
2.6%
1 2278
 
2.4%
2 2185
 
2.3%
/ 2185
 
2.3%
0 2162
 
2.2%
| 1616
 
1.7%
$ 1570
 
1.6%
Other values (55) 15563
 
16.1%
Arabic
ValueCountFrequency (%)
ا 5961
 
12.4%
ل 3940
 
8.2%
م 2833
 
5.9%
ی 2796
 
5.8%
ر 2464
 
5.1%
و 2455
 
5.1%
ن 2403
 
5.0%
ت 1909
 
4.0%
ک 1902
 
3.9%
ي 1717
 
3.6%
Other values (50) 19790
41.1%
Cyrillic
ValueCountFrequency (%)
о 3753
 
10.8%
е 3375
 
9.7%
и 2742
 
7.9%
а 2386
 
6.8%
т 2243
 
6.4%
н 1984
 
5.7%
в 1718
 
4.9%
с 1713
 
4.9%
р 1631
 
4.7%
л 1537
 
4.4%
Other values (50) 11794
33.8%
Bengali
ValueCountFrequency (%)
2486
 
9.2%
2437
 
9.0%
2138
 
7.9%
1857
 
6.8%
ি 1751
 
6.4%
1714
 
6.3%
1442
 
5.3%
1359
 
5.0%
1108
 
4.1%
1050
 
3.9%
Other values (45) 9814
36.1%
Inherited
ValueCountFrequency (%)
ً 215
79.3%
ُ 29
 
10.7%
ّ 8
 
3.0%
ِ 6
 
2.2%
ٍ 4
 
1.5%
َ 4
 
1.5%
ٰ 3
 
1.1%
ٌ 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 277332
66.9%
Arabic 48997
 
11.8%
Cyrillic 34876
 
8.4%
Bengali 27156
 
6.6%
Hangul 10858
 
2.6%
CJK 8834
 
2.1%
None 5931
 
1.4%
Punctuation 427
 
0.1%
Devanagari 126
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58797
21.2%
e 20039
 
7.2%
n 17349
 
6.3%
a 15164
 
5.5%
o 13585
 
4.9%
i 12691
 
4.6%
s 11219
 
4.0%
r 9481
 
3.4%
t 9439
 
3.4%
u 7150
 
2.6%
Other values (75) 102418
36.9%
Arabic
ValueCountFrequency (%)
ا 5961
 
12.2%
ل 3940
 
8.0%
م 2833
 
5.8%
ی 2796
 
5.7%
ر 2464
 
5.0%
و 2455
 
5.0%
ن 2403
 
4.9%
ت 1909
 
3.9%
ک 1902
 
3.9%
ي 1717
 
3.5%
Other values (51) 20617
42.1%
Cyrillic
ValueCountFrequency (%)
о 3753
 
10.8%
е 3375
 
9.7%
и 2742
 
7.9%
а 2386
 
6.8%
т 2243
 
6.4%
н 1984
 
5.7%
в 1718
 
4.9%
с 1713
 
4.9%
р 1631
 
4.7%
л 1537
 
4.4%
Other values (50) 11794
33.8%
Bengali
ValueCountFrequency (%)
2486
 
9.2%
2437
 
9.0%
2138
 
7.9%
1857
 
6.8%
ি 1751
 
6.4%
1714
 
6.3%
1442
 
5.3%
1359
 
5.0%
1108
 
4.1%
1050
 
3.9%
Other values (45) 9814
36.1%
None
ValueCountFrequency (%)
é 898
15.1%
è 517
 
8.7%
ó 431
 
7.3%
ą 363
 
6.1%
ę 309
 
5.2%
ł 307
 
5.2%
ż 296
 
5.0%
ś 283
 
4.8%
ć 239
 
4.0%
à 186
 
3.1%
Other values (46) 2102
35.4%
Hangul
ValueCountFrequency (%)
386
 
3.6%
335
 
3.1%
300
 
2.8%
282
 
2.6%
272
 
2.5%
264
 
2.4%
236
 
2.2%
199
 
1.8%
195
 
1.8%
160
 
1.5%
Other values (420) 8229
75.8%
CJK
ValueCountFrequency (%)
312
 
3.5%
311
 
3.5%
191
 
2.2%
178
 
2.0%
178
 
2.0%
131
 
1.5%
121
 
1.4%
120
 
1.4%
117
 
1.3%
117
 
1.3%
Other values (740) 7058
79.9%
Punctuation
ValueCountFrequency (%)
280
65.6%
42
 
9.8%
38
 
8.9%
26
 
6.1%
12
 
2.8%
10
 
2.3%
9
 
2.1%
4
 
0.9%
3
 
0.7%
2
 
0.5%
Devanagari
ValueCountFrequency (%)
126
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%

how_to_apply_summary
Text

MISSING 

Distinct898
Distinct (%)99.9%
Missing101
Missing (%)10.1%
Memory size1.1 MiB
2023-12-09T20:32:08.465224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3031
Median length935
Mean length660.1713014
Min length44

Characters and Unicode

Total characters593494
Distinct characters1493
Distinct categories20 ?
Distinct scripts8 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique897 ?
Unique (%)99.8%

Sample

1st row\nDéposez une demande en ligne : Si vous déposez une demande pour le programme SCRIE pour la première fois, vous pouvez le faire en ligne (https://www1.nyc.gov/site/rentfreeze/tools/nyc-tap.page) .\nVous pouvez aussi (https://www1.nyc.gov/assets/finance/jump/dof-appointments.html) fixer un rendez-vous virtuel (https://www1.nyc.gov/assets/rentfreeze/downloads/pdf/scrie/scrie-initial-application-only.pdf) pour déposer une demande pour le programme SCRIE.\nDéposez une demande par courrier postal : téléchargez (https://www1.nyc.gov/assets/hpd/downloads/pdfs/services/scrie-application.pdf) la demande (mailto:SCRIE@hpd.nyc.gov) ou prenez-en une dans un Centre d’assistance SCRIE (SCRIE Assistance Center).\nEnvoyez par courrier postal votre demande dûment remplie et signée accompagnée des pièces justificatives à l’adresse :Rent Freeze Program – SCRIEP.O. Box 3179Union, NJ 07083Si vous vivez dans un logement social Mitchell-Lama ou Redevelopment Company :\nTéléchargez la demande HPD SCRIE et envoyez-la par courrier postal à l’adresse :HPD SCRIE Unit100 Gold Street, 7th floorNew York, New York, 10038\nVous pouvez également envoyer votre demande dûment remplie par courriel à l’adresse SCRIE@hpd.nyc.gov.
2nd rowستحتاج إلى هذا الخطاب عند تقديم إقرارك الضريبي:\nنموذج نفقات رعاية الطفل والمعال: النموذج 2441 (https://www.irs.gov/pub/irs-pdf/f2441.pdf) .\nإقرار ضريبة الدخل الفردي بالولايات المتحدة: النموذج 1040 (https://www.irs.gov/pub/irs-pdf/f1040.pdf) أو إقرار ضريبة الدخل بالولايات المتحدة لغير المقيمين: (https://www.irs.gov/forms-pubs/about-form-1040-nr) النموذج 1040NR (https://www1.nyc.gov/site/dca/consumers/file-your-taxes.page) .إذا كسبت 72,000 دولار أو أقل في عام 2021، فيمكنك تقديم إقراراتك الضريبية بالمجان من خلال NYC Free Tax Prep. يتاح المعدون المتطوعون ببرنامج VITA/TCE المعتمدون من دائرة الإيرادات الداخلية (IRS) لمساعدتك في تقديم الإقرارات.\nإعداد الإقرار الضريبي افتراضيًّا: يُمكن لأحد المُعدِّين مساعدتك في تقديم إقراراتك الضريبية خلال مكالمة عبر الوسائل الافتراضية تتراوح مدتها بين 60 و90 دقيقة.\nالإعداد الذاتي بمساعدة: أكمل إقرارك الضريبي بنفسك. سيُتاح أحد المعدين عبر الهاتف أو البريد الإلكتروني للإجابة على أسئلتك.\nخدمة تسليم المستندات الضريبيَّة: وهنا تقوم بتسليم مستنداتك الضريبية واستلام الإقرار الضريبي المكتمل لاحقًا.\n الحضور شخصيًا: يمكنك إعداد إقراراتك الضريبية مجانا في أحد مواقع إعداد الإقرار الضريبي القريبة منك.
3rd rowআপনার ট্যাক্স রিটার্ন দাখিল করার সময় আপনার এই ফর্মগুলির প্রয়োজন হবে:\nসন্তান এবং নির্ভরশীলের পরিচর্যাভিত্তিক ব্যয়ের ফর্ম (Child and Dependent Care Expenses form) ফর্ম 2441 (https://www.irs.gov/pub/irs-pdf/f2441.pdf) ।\nমার্কিন ব্যক্তিগত আয়কর রিটার্ন (U.S. Individual Income Tax Return): ফর্ম 1040 (https://www.irs.gov/pub/irs-pdf/f1040.pdf) অথবা মার্কিন অনাবাসিক আয়কর রিটার্ন (U.S. Nonresident Income Tax Return): (https://www.irs.gov/forms-pubs/about-form-1040-nr) ফর্ম 1040NR (https://www1.nyc.gov/site/dca/consumers/file-your-taxes.page) ।আপনি যদি 2021 সালে $72,000 বা তার কম আয় করেন, তাহলে আপনি NYC বিনামূল্যে কর প্রস্তুতি (NYC Free Tax Prep) এর মাধ্যমে বিনামূল্যে আপনার ট্যাক্স ফাইল করতে পারেন। IRS-প্রত্যয়িত VITA/TCE স্বেচ্ছাসেবক প্রস্তুতকারীরা আপনাকে ফাইল করতে সাহায্য করার জন্য উপলব্ধ।\nভার্চুয়াল কর প্রস্তুতি:একজন প্রস্তুতকারী আপনাকে 60-90 মিনিটের ভার্চুয়াল কলের সময় আপনার ট্যাক্স রিটার্ন ফাইল করতে সাহায্য করতে পারে।\nসহায়তা প্রাপ্ত স্ব-প্রস্তুতি: আপনি নিজেই আপনার নিজের ট্যাক্স রিটার্ন সম্পূর্ণ করুন। আপনার প্রশ্নের উত্তর দেওয়ার জন্য একজন প্রস্তুতকারী ফোন বা ইমেলের মাধ্যমে উপলব্ধ থাকবেন\nরেখে দিয়ে আসার পরিষেবা: আপনার করের নথিপত্র রেখে দিয়ে আসুন এবং পরে সম্পূর্ণ করা রিটার্ন নিয়ে নিন।\nসশরীরে: আপনার কাছাকাছি কোনো ট্যাক্স প্রস্তুতি অবস্থানে বিনামূল্যে আপনার কর প্রস্তুত করুন।
4th row您在報稅時將需要這些表單:\n「兒童和受撫養人照護費用」(Child and Dependent Care Expenses) 表單:表單 2441 (https://www.irs.gov/pub/irs-pdf/f2441.pdf) 。\n美國個人所得稅申報表 (U.S. Individual Income Tax Return):表單 1040 (https://www.irs.gov/pub/irs-pdf/f1040.pdf) 或美國非居民所得稅申報表 (U.S. Nonresident Income Tax Return): (https://www.irs.gov/forms-pubs/about-form-1040-nr) 表單 1040NR (https://www1.nyc.gov/site/dca/consumers/file-your-taxes.page) 。如果您於 2021 年的收入在 $72,000 或以下,您可以透過NYC 免費報稅服務進行免費報稅。經 IRS 認證的 VITA/TCE 報稅志工可協助您報稅。\n遠端報稅:報稅志工可在 60-90 分鐘的遠端電話中,協助您填寫納稅申報表。\n有人協助的自行報稅:自行完成您的納稅申報表。報稅志工可以透過電話或電子郵件回答您的問題。\n投件服務:您只要將報稅文件交給他們,稍後就能取得完成的文件\n當面辦理:您可以到附近的報稅服務據點親自辦理報稅,以免費享受報稅服務。
5th rowYou will need these forms when filing your tax return:\nChild and Dependent Care Expenses form: Form 2441 (https://www.irs.gov/pub/irs-pdf/f2441.pdf) .\nU.S. Individual Income Tax Return: Form 1040 (https://www.irs.gov/pub/irs-pdf/f1040.pdf) or U.S. Nonresident Income Tax Return: (https://www.irs.gov/forms-pubs/about-form-1040-nr) Form 1040NR (https://www.irs.gov/pub/irs-pdf/fw10.pdf) .You must identify all persons or organizations that provided care for your qualifying child or children. This includes:\nthe provider’s name and address\nTaxpayer Identification Number or Social Security number. Filers should use IRS Form W-10 (https://www1.nyc.gov/site/dca/consumers/file-your-taxes.page) to request this required information.You qualify for free tax filing with NYC Free Tax Prep if your family earned $80,000 or less or if you're a single filer who earned $56,000 or less in 2022. IRS-certified VITA/TCE volunteer preparers can help you file online, in person, or when you drop off your documents.
ValueCountFrequency (%)
de 1073
 
1.5%
534
 
0.7%
ou 518
 
0.7%
la 446
 
0.6%
کے 412
 
0.6%
a 406
 
0.6%
w 385
 
0.5%
en 378
 
0.5%
pou 306
 
0.4%
nan 289
 
0.4%
Other values (16359) 67045
93.4%
2023-12-09T20:32:09.056483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70733
 
11.9%
e 29303
 
4.9%
n 24198
 
4.1%
o 23584
 
4.0%
a 23316
 
3.9%
t 19451
 
3.3%
s 18457
 
3.1%
i 17606
 
3.0%
r 16558
 
2.8%
p 12889
 
2.2%
Other values (1483) 337399
56.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 325946
54.9%
Other Letter 97449
 
16.4%
Space Separator 70919
 
11.9%
Other Punctuation 33001
 
5.6%
Uppercase Letter 24217
 
4.1%
Decimal Number 16872
 
2.8%
Spacing Mark 7608
 
1.3%
Dash Punctuation 5454
 
0.9%
Nonspacing Mark 3795
 
0.6%
Open Punctuation 3320
 
0.6%
Other values (10) 4913
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 6906
 
7.1%
ل 4808
 
4.9%
ر 3651
 
3.7%
م 3148
 
3.2%
2982
 
3.1%
ی 2906
 
3.0%
ت 2639
 
2.7%
و 2624
 
2.7%
2522
 
2.6%
ن 2404
 
2.5%
Other values (1250) 62859
64.5%
Lowercase Letter
ValueCountFrequency (%)
e 29303
 
9.0%
n 24198
 
7.4%
o 23584
 
7.2%
a 23316
 
7.2%
t 19451
 
6.0%
s 18457
 
5.7%
i 17606
 
5.4%
r 16558
 
5.1%
p 12889
 
4.0%
l 12485
 
3.8%
Other values (77) 128099
39.3%
Uppercase Letter
ValueCountFrequency (%)
S 2554
 
10.5%
C 2378
 
9.8%
A 1910
 
7.9%
Y 1579
 
6.5%
P 1539
 
6.4%
N 1490
 
6.2%
E 1472
 
6.1%
R 1109
 
4.6%
D 1098
 
4.5%
F 1048
 
4.3%
Other values (48) 8040
33.2%
Other Punctuation
ValueCountFrequency (%)
/ 11752
35.6%
. 9687
29.4%
: 3429
 
10.4%
\ 3269
 
9.9%
, 2073
 
6.3%
382
 
1.2%
" 376
 
1.1%
371
 
1.1%
۔ 367
 
1.1%
، 301
 
0.9%
Other values (15) 994
 
3.0%
Nonspacing Mark
ValueCountFrequency (%)
2265
59.7%
675
 
17.8%
494
 
13.0%
ً 131
 
3.5%
98
 
2.6%
ُ 44
 
1.2%
39
 
1.0%
ّ 24
 
0.6%
10
 
0.3%
ِ 8
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 3219
19.1%
0 2754
16.3%
2 2394
14.2%
8 1568
9.3%
3 1443
8.6%
7 1380
8.2%
6 1145
 
6.8%
4 1081
 
6.4%
5 1023
 
6.1%
9 865
 
5.1%
Spacing Mark
ValueCountFrequency (%)
2808
36.9%
2490
32.7%
ি 1539
20.2%
422
 
5.5%
181
 
2.4%
159
 
2.1%
5
 
0.1%
4
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 3210
96.7%
38
 
1.1%
36
 
1.1%
30
 
0.9%
[ 3
 
0.1%
2
 
0.1%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3210
97.9%
34
 
1.0%
31
 
0.9%
] 3
 
0.1%
2
 
0.1%
Math Symbol
ValueCountFrequency (%)
= 172
58.7%
+ 96
32.8%
~ 15
 
5.1%
| 10
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 5392
98.9%
58
 
1.1%
4
 
0.1%
Final Punctuation
ValueCountFrequency (%)
345
70.7%
96
 
19.7%
» 47
 
9.6%
Space Separator
ValueCountFrequency (%)
70733
99.7%
  186
 
0.3%
Initial Punctuation
ValueCountFrequency (%)
58
55.2%
« 47
44.8%
Format
ValueCountFrequency (%)
4
50.0%
4
50.0%
Other Symbol
ValueCountFrequency (%)
4
50.0%
4
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 628
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 74
100.0%
Other Number
ValueCountFrequency (%)
20
100.0%
Modifier Letter
ValueCountFrequency (%)
ـ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 312445
52.6%
Common 134088
22.6%
Arabic 55634
 
9.4%
Cyrillic 37722
 
6.4%
Bengali 31565
 
5.3%
Hangul 12376
 
2.1%
Han 9446
 
1.6%
Inherited 218
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
317
 
3.4%
307
 
3.3%
285
 
3.0%
247
 
2.6%
151
 
1.6%
121
 
1.3%
113
 
1.2%
109
 
1.2%
99
 
1.0%
94
 
1.0%
Other values (733) 7603
80.5%
Hangul
ValueCountFrequency (%)
427
 
3.5%
298
 
2.4%
288
 
2.3%
283
 
2.3%
281
 
2.3%
271
 
2.2%
268
 
2.2%
251
 
2.0%
244
 
2.0%
242
 
2.0%
Other values (419) 9523
76.9%
Latin
ValueCountFrequency (%)
e 29303
 
9.4%
n 24198
 
7.7%
o 23584
 
7.5%
a 23316
 
7.5%
t 19451
 
6.2%
s 18457
 
5.9%
i 17606
 
5.6%
r 16558
 
5.3%
p 12889
 
4.1%
l 12485
 
4.0%
Other values (78) 114598
36.7%
Common
ValueCountFrequency (%)
70733
52.8%
/ 11752
 
8.8%
. 9687
 
7.2%
- 5392
 
4.0%
: 3429
 
2.6%
\ 3269
 
2.4%
1 3219
 
2.4%
( 3210
 
2.4%
) 3210
 
2.4%
0 2754
 
2.1%
Other values (56) 17433
 
13.0%
Cyrillic
ValueCountFrequency (%)
о 4088
 
10.8%
е 3459
 
9.2%
а 2970
 
7.9%
и 2745
 
7.3%
т 2420
 
6.4%
н 2378
 
6.3%
р 1707
 
4.5%
в 1665
 
4.4%
л 1665
 
4.4%
с 1614
 
4.3%
Other values (48) 13011
34.5%
Bengali
ValueCountFrequency (%)
2982
 
9.4%
2808
 
8.9%
2522
 
8.0%
2490
 
7.9%
2265
 
7.2%
1844
 
5.8%
ি 1539
 
4.9%
1296
 
4.1%
1215
 
3.8%
1154
 
3.7%
Other values (44) 11450
36.3%
Arabic
ValueCountFrequency (%)
ا 6906
 
12.4%
ل 4808
 
8.6%
ر 3651
 
6.6%
م 3148
 
5.7%
ی 2906
 
5.2%
ت 2639
 
4.7%
و 2624
 
4.7%
ن 2404
 
4.3%
ک 2321
 
4.2%
د 1894
 
3.4%
Other values (39) 22333
40.1%
Inherited
ValueCountFrequency (%)
ً 131
60.1%
ُ 44
 
20.2%
ّ 24
 
11.0%
ِ 8
 
3.7%
َ 7
 
3.2%
4
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 438508
73.9%
Arabic 56158
 
9.5%
Cyrillic 37722
 
6.4%
Bengali 31565
 
5.3%
Hangul 12376
 
2.1%
CJK 9446
 
1.6%
None 6732
 
1.1%
Punctuation 608
 
0.1%
Devanagari 371
 
0.1%
Letterlike Symbols 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70733
 
16.1%
e 29303
 
6.7%
n 24198
 
5.5%
o 23584
 
5.4%
a 23316
 
5.3%
t 19451
 
4.4%
s 18457
 
4.2%
i 17606
 
4.0%
r 16558
 
3.8%
p 12889
 
2.9%
Other values (79) 182413
41.6%
Arabic
ValueCountFrequency (%)
ا 6906
 
12.3%
ل 4808
 
8.6%
ر 3651
 
6.5%
م 3148
 
5.6%
ی 2906
 
5.2%
ت 2639
 
4.7%
و 2624
 
4.7%
ن 2404
 
4.3%
ک 2321
 
4.1%
د 1894
 
3.4%
Other values (46) 22857
40.7%
Cyrillic
ValueCountFrequency (%)
о 4088
 
10.8%
е 3459
 
9.2%
а 2970
 
7.9%
и 2745
 
7.3%
т 2420
 
6.4%
н 2378
 
6.3%
р 1707
 
4.5%
в 1665
 
4.4%
л 1665
 
4.4%
с 1614
 
4.3%
Other values (48) 13011
34.5%
Bengali
ValueCountFrequency (%)
2982
 
9.4%
2808
 
8.9%
2522
 
8.0%
2490
 
7.9%
2265
 
7.2%
1844
 
5.8%
ি 1539
 
4.9%
1296
 
4.1%
1215
 
3.8%
1154
 
3.7%
Other values (44) 11450
36.3%
None
ValueCountFrequency (%)
é 938
13.9%
è 714
 
10.6%
ó 522
 
7.8%
ł 450
 
6.7%
ę 429
 
6.4%
ż 392
 
5.8%
382
 
5.7%
ć 377
 
5.6%
ą 332
 
4.9%
ò 262
 
3.9%
Other values (42) 1934
28.7%
Hangul
ValueCountFrequency (%)
427
 
3.5%
298
 
2.4%
288
 
2.3%
283
 
2.3%
281
 
2.3%
271
 
2.2%
268
 
2.2%
251
 
2.0%
244
 
2.0%
242
 
2.0%
Other values (419) 9523
76.9%
Devanagari
ValueCountFrequency (%)
371
100.0%
Punctuation
ValueCountFrequency (%)
345
56.7%
96
 
15.8%
58
 
9.5%
58
 
9.5%
38
 
6.2%
4
 
0.7%
4
 
0.7%
4
 
0.7%
1
 
0.2%
CJK
ValueCountFrequency (%)
317
 
3.4%
307
 
3.3%
285
 
3.0%
247
 
2.6%
151
 
1.6%
121
 
1.3%
113
 
1.2%
109
 
1.2%
99
 
1.0%
94
 
1.0%
Other values (733) 7603
80.5%
Letterlike Symbols
ValueCountFrequency (%)
4
100.0%
Geometric Shapes
ValueCountFrequency (%)
4
100.0%
Distinct527
Distinct (%)98.3%
Missing464
Missing (%)46.4%
Memory size471.2 KiB
2023-12-09T20:32:09.341144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2402
Median length613
Mean length466.136194
Min length4

Characters and Unicode

Total characters249849
Distinct characters1191
Distinct categories20 ?
Distinct scripts8 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique518 ?
Unique (%)96.6%

Sample

1st rowDéposez une demande en ligneSi vous déposez une demande pour le programme SCRIE pour la première fois, vous pouvez le faire en ligne (https://www1.nyc.gov/site/rentfreeze/tools/nyc-tap.page) .Déposez une demande pendant un rendez-vous virtuelVous pouvez obtenir de l’aide pour déposer une demande au programme SCRIE en (https://www1.nyc.gov/assets/finance/jump/dof-appointments.html) prenant un rendez-vous virtuel. Lors de la prise de rendez-vous :\nSous « Select Service » (Sélectionner le service), choisissez les Programmes d’exemption de propriétaire et de locataire. Ensuite, choisissez « Rent Freeze (SCRIE or DRIE) Initial application » (la demande initiale de gel de loyer SCRIE ou DRIE).\nSous « Select Location » (Sélectionner un lieu), choisissez « Exemptions Virtual Appointments » (Rendez-vous virtuels pour l’exemption).\nChoisissez une date et une heure. Ensuite, remplissez vos coordonnées pour créer votre rendez-vous.
2nd rowإذا كسبت 72,000 دولار أو أقل في عام 2021، فيمكنك تقديم إقراراتك الضريبية بالمجان من خلال NYC Free Tax Prep (https://www1.nyc.gov/site/dca/consumers/file-your-taxes.page) . يتاح المعدون المتطوعون ببرنامج VITA/TCE المعتمدون من دائرة الإيرادات الداخلية (IRS) لمساعدتك في تقديم الإقرارات.\nإعداد الإقرار الضريبي افتراضيًّا: يُمكن لأحد المُعدِّين مساعدتك في تقديم إقراراتك الضريبية خلال مكالمة عبر الوسائل الافتراضية تتراوح مدتها بين 60 و90 دقيقة.\nالإعداد الذاتي بمساعدة: أكمل إقرارك الضريبي بنفسك. سيُتاح أحد المعدين عبر الهاتف أو البريد الإلكتروني للإجابة على أسئلتك.
3rd rowআপনি যদি 2021 সালে $72,000 বা তার কম আয় করেন, তাহলে আপনি NYC বিনামূল্যে কর প্রস্তুতি (NYC Free Tax Prep) (https://www1.nyc.gov/site/dca/consumers/file-your-taxes.page) এর মাধ্যমে বিনামূল্যে আপনার ট্যাক্স ফাইল করতে পারেন। IRS-প্রত্যয়িত VITA/TCE স্বেচ্ছাসেবক প্রস্তুতকারীরা আপনাকে ফাইল করতে সাহায্য করার জন্য উপলব্ধ।\nভার্চুয়াল কর প্রস্তুতি:একজন প্রস্তুতকারী আপনাকে 60-90 মিনিটের ভার্চুয়াল কলের সময় আপনার ট্যাক্স রিটার্ন ফাইল করতে সাহায্য করতে পারে।\nসহায়তা প্রাপ্ত স্ব-প্রস্তুতি: আপনি নিজেই আপনার নিজের ট্যাক্স রিটার্ন সম্পূর্ণ করুন। আপনার প্রশ্নের উত্তর দেওয়ার জন্য একজন প্রস্তুতকারী ফোন বা ইমেলের মাধ্যমে উপলব্ধ থাকবেন
4th row如果您於 2021 年的收入在 $72,000 或以下,您可以透過NYC 免費報稅服務 (https://www1.nyc.gov/site/dca/consumers/file-your-taxes.page) 進行免費報稅。經 IRS 認證的 VITA/TCE 報稅志工可協助您報稅。\n遠端報稅:報稅志工可在 60-90 分鐘的遠端電話中,協助您填寫納稅申報表。\n有人協助的自行報稅:自行完成您的納稅申報表。報稅志工可以透過電話或電子郵件回答您的問題。
5th rowFile your taxes for free online with NYC Free Tax Prep (https://www1.nyc.gov/site/dca/consumers/file-your-taxes.page) if your family earned $80,000 or less or if you're a single filer who earned $56,000 or less in 2022. IRS-certified VITA/TCE volunteer preparers can help you file online, in person, or when you drop off your documents.
ValueCountFrequency (%)
de 479
 
1.6%
280
 
0.9%
ou 223
 
0.8%
la 205
 
0.7%
en 189
 
0.6%
w 175
 
0.6%
a 171
 
0.6%
کے 152
 
0.5%
nyc 141
 
0.5%
pou 139
 
0.5%
Other values (7795) 27577
92.8%
2023-12-09T20:32:09.795860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29139
 
11.7%
e 13063
 
5.2%
o 10189
 
4.1%
n 9934
 
4.0%
a 9851
 
3.9%
t 8334
 
3.3%
s 8088
 
3.2%
i 7897
 
3.2%
r 7220
 
2.9%
c 6094
 
2.4%
Other values (1181) 140040
56.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 141782
56.7%
Other Letter 38806
 
15.5%
Space Separator 29200
 
11.7%
Other Punctuation 14061
 
5.6%
Uppercase Letter 11452
 
4.6%
Decimal Number 4201
 
1.7%
Spacing Mark 2894
 
1.2%
Dash Punctuation 2017
 
0.8%
Open Punctuation 1622
 
0.6%
Close Punctuation 1585
 
0.6%
Other values (10) 2229
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 2767
 
7.1%
ل 1907
 
4.9%
ر 1460
 
3.8%
م 1192
 
3.1%
1179
 
3.0%
ت 1157
 
3.0%
ی 1133
 
2.9%
و 1075
 
2.8%
ن 1000
 
2.6%
974
 
2.5%
Other values (961) 24962
64.3%
Lowercase Letter
ValueCountFrequency (%)
e 13063
 
9.2%
o 10189
 
7.2%
n 9934
 
7.0%
a 9851
 
6.9%
t 8334
 
5.9%
s 8088
 
5.7%
i 7897
 
5.6%
r 7220
 
5.1%
c 6094
 
4.3%
l 5652
 
4.0%
Other values (75) 55460
39.1%
Uppercase Letter
ValueCountFrequency (%)
S 1509
13.2%
C 1257
 
11.0%
A 894
 
7.8%
E 824
 
7.2%
Y 693
 
6.1%
N 660
 
5.8%
D 633
 
5.5%
R 599
 
5.2%
P 582
 
5.1%
T 503
 
4.4%
Other values (43) 3298
28.8%
Other Punctuation
ValueCountFrequency (%)
/ 5138
36.5%
. 4235
30.1%
: 1367
 
9.7%
\ 1020
 
7.3%
, 903
 
6.4%
" 248
 
1.8%
170
 
1.2%
۔ 157
 
1.1%
149
 
1.1%
، 135
 
1.0%
Other values (11) 539
 
3.8%
Nonspacing Mark
ValueCountFrequency (%)
866
57.8%
283
 
18.9%
205
 
13.7%
40
 
2.7%
ً 36
 
2.4%
ُ 25
 
1.7%
15
 
1.0%
ّ 15
 
1.0%
ِ 4
 
0.3%
3
 
0.2%
Other values (2) 5
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 847
20.2%
1 779
18.5%
0 764
18.2%
6 340
8.1%
8 301
 
7.2%
9 300
 
7.1%
3 231
 
5.5%
7 223
 
5.3%
5 219
 
5.2%
4 197
 
4.7%
Spacing Mark
ValueCountFrequency (%)
1151
39.8%
923
31.9%
ি 569
19.7%
132
 
4.6%
58
 
2.0%
55
 
1.9%
3
 
0.1%
3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1538
94.8%
35
 
2.2%
25
 
1.5%
18
 
1.1%
[ 4
 
0.2%
1
 
0.1%
1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1536
96.9%
26
 
1.6%
18
 
1.1%
] 4
 
0.3%
1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 2003
99.3%
12
 
0.6%
2
 
0.1%
Math Symbol
ValueCountFrequency (%)
= 137
70.6%
+ 52
 
26.8%
~ 5
 
2.6%
Final Punctuation
ValueCountFrequency (%)
123
56.9%
58
26.9%
» 35
 
16.2%
Space Separator
ValueCountFrequency (%)
29139
99.8%
  61
 
0.2%
Initial Punctuation
ValueCountFrequency (%)
« 35
60.3%
23
39.7%
Connector Punctuation
ValueCountFrequency (%)
_ 197
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 49
100.0%
Other Number
ValueCountFrequency (%)
10
100.0%
Format
ValueCountFrequency (%)
4
100.0%
Modifier Letter
ValueCountFrequency (%)
ـ 3
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 137197
54.9%
Common 53247
 
21.3%
Arabic 22183
 
8.9%
Cyrillic 16038
 
6.4%
Bengali 12293
 
4.9%
Hangul 4959
 
2.0%
Han 3843
 
1.5%
Inherited 89
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
136
 
3.5%
134
 
3.5%
114
 
3.0%
109
 
2.8%
68
 
1.8%
63
 
1.6%
61
 
1.6%
50
 
1.3%
50
 
1.3%
41
 
1.1%
Other values (544) 3017
78.5%
Hangul
ValueCountFrequency (%)
189
 
3.8%
135
 
2.7%
129
 
2.6%
117
 
2.4%
113
 
2.3%
112
 
2.3%
106
 
2.1%
105
 
2.1%
100
 
2.0%
100
 
2.0%
Other values (320) 3753
75.7%
Latin
ValueCountFrequency (%)
e 13063
 
9.5%
o 10189
 
7.4%
n 9934
 
7.2%
a 9851
 
7.2%
t 8334
 
6.1%
s 8088
 
5.9%
i 7897
 
5.8%
r 7220
 
5.3%
c 6094
 
4.4%
l 5652
 
4.1%
Other values (74) 50875
37.1%
Common
ValueCountFrequency (%)
29139
54.7%
/ 5138
 
9.6%
. 4235
 
8.0%
- 2003
 
3.8%
( 1538
 
2.9%
) 1536
 
2.9%
: 1367
 
2.6%
\ 1020
 
1.9%
, 903
 
1.7%
2 847
 
1.6%
Other values (49) 5521
 
10.4%
Cyrillic
ValueCountFrequency (%)
о 1815
 
11.3%
е 1377
 
8.6%
а 1326
 
8.3%
и 1060
 
6.6%
т 1003
 
6.3%
н 982
 
6.1%
л 774
 
4.8%
в 728
 
4.5%
р 701
 
4.4%
с 676
 
4.2%
Other values (45) 5596
34.9%
Bengali
ValueCountFrequency (%)
1179
 
9.6%
1151
 
9.4%
974
 
7.9%
923
 
7.5%
866
 
7.0%
644
 
5.2%
ি 569
 
4.6%
559
 
4.5%
518
 
4.2%
462
 
3.8%
Other values (43) 4448
36.2%
Arabic
ValueCountFrequency (%)
ا 2767
 
12.5%
ل 1907
 
8.6%
ر 1460
 
6.6%
م 1192
 
5.4%
ت 1157
 
5.2%
ی 1133
 
5.1%
و 1075
 
4.8%
ن 1000
 
4.5%
ک 866
 
3.9%
د 820
 
3.7%
Other values (39) 8806
39.7%
Inherited
ValueCountFrequency (%)
ً 36
40.4%
ُ 25
28.1%
ّ 15
16.9%
ِ 4
 
4.5%
4
 
4.5%
َ 3
 
3.4%
ٰ 2
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 186989
74.8%
Arabic 22407
 
9.0%
Cyrillic 16038
 
6.4%
Bengali 12293
 
4.9%
Hangul 4959
 
2.0%
CJK 3843
 
1.5%
None 2912
 
1.2%
Punctuation 258
 
0.1%
Devanagari 149
 
0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29139
 
15.6%
e 13063
 
7.0%
o 10189
 
5.4%
n 9934
 
5.3%
a 9851
 
5.3%
t 8334
 
4.5%
s 8088
 
4.3%
i 7897
 
4.2%
r 7220
 
3.9%
c 6094
 
3.3%
Other values (75) 77180
41.3%
Arabic
ValueCountFrequency (%)
ا 2767
 
12.3%
ل 1907
 
8.5%
ر 1460
 
6.5%
م 1192
 
5.3%
ت 1157
 
5.2%
ی 1133
 
5.1%
و 1075
 
4.8%
ن 1000
 
4.5%
ک 866
 
3.9%
د 820
 
3.7%
Other values (48) 9030
40.3%
Cyrillic
ValueCountFrequency (%)
о 1815
 
11.3%
е 1377
 
8.6%
а 1326
 
8.3%
и 1060
 
6.6%
т 1003
 
6.3%
н 982
 
6.1%
л 774
 
4.8%
в 728
 
4.5%
р 701
 
4.4%
с 676
 
4.2%
Other values (45) 5596
34.9%
Bengali
ValueCountFrequency (%)
1179
 
9.6%
1151
 
9.4%
974
 
7.9%
923
 
7.5%
866
 
7.0%
644
 
5.2%
ি 569
 
4.6%
559
 
4.5%
518
 
4.2%
462
 
3.8%
Other values (43) 4448
36.2%
None
ValueCountFrequency (%)
é 390
13.4%
è 331
 
11.4%
ó 226
 
7.8%
ł 201
 
6.9%
ę 185
 
6.4%
170
 
5.8%
ż 169
 
5.8%
ć 138
 
4.7%
ą 129
 
4.4%
109
 
3.7%
Other values (36) 864
29.7%
Hangul
ValueCountFrequency (%)
189
 
3.8%
135
 
2.7%
129
 
2.6%
117
 
2.4%
113
 
2.3%
112
 
2.3%
106
 
2.1%
105
 
2.1%
100
 
2.0%
100
 
2.0%
Other values (320) 3753
75.7%
Devanagari
ValueCountFrequency (%)
149
100.0%
CJK
ValueCountFrequency (%)
136
 
3.5%
134
 
3.5%
114
 
3.0%
109
 
2.8%
68
 
1.8%
63
 
1.6%
61
 
1.6%
50
 
1.3%
50
 
1.3%
41
 
1.1%
Other values (544) 3017
78.5%
Punctuation
ValueCountFrequency (%)
123
47.7%
58
22.5%
35
 
13.6%
23
 
8.9%
12
 
4.7%
4
 
1.6%
2
 
0.8%
1
 
0.4%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct215
Distinct (%)54.3%
Missing604
Missing (%)60.4%
Memory size59.4 KiB
2023-12-09T20:32:10.139836image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length43
Median length33
Mean length17.93939394
Min length2

Characters and Unicode

Total characters7104
Distinct characters266
Distinct categories12 ?
Distinct scripts8 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)42.9%

Sample

1st rowDéposez une demande en ligne
2nd rowالتقديم عبر الإنترنت
3rd rowঅনলাইন ফাইল করুন
4th row線上申報
5th rowFile online
ValueCountFrequency (%)
en 51
 
4.2%
online 47
 
3.9%
করুন 29
 
2.4%
línea 26
 
2.2%
آن 25
 
2.1%
لائن 25
 
2.1%
ligne 25
 
2.1%
الإنترنت 24
 
2.0%
عبر 24
 
2.0%
złóż 23
 
1.9%
Other values (306) 906
75.2%
2023-12-09T20:32:10.637543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
809
 
11.4%
e 465
 
6.5%
n 394
 
5.5%
o 241
 
3.4%
l 228
 
3.2%
i 217
 
3.1%
a 190
 
2.7%
r 180
 
2.5%
s 163
 
2.3%
ا 142
 
2.0%
Other values (256) 4075
57.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3874
54.5%
Other Letter 1950
27.4%
Space Separator 809
 
11.4%
Uppercase Letter 289
 
4.1%
Spacing Mark 105
 
1.5%
Nonspacing Mark 65
 
0.9%
Dash Punctuation 5
 
0.1%
Other Punctuation 3
 
< 0.1%
Other Number 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 142
 
7.3%
117
 
6.0%
ر 114
 
5.8%
ن 112
 
5.7%
ل 110
 
5.6%
ت 103
 
5.3%
د 70
 
3.6%
ب 54
 
2.8%
46
 
2.4%
م 42
 
2.2%
Other values (146) 1040
53.3%
Lowercase Letter
ValueCountFrequency (%)
e 465
 
12.0%
n 394
 
10.2%
o 241
 
6.2%
l 228
 
5.9%
i 217
 
5.6%
a 190
 
4.9%
r 180
 
4.6%
s 163
 
4.2%
t 128
 
3.3%
p 126
 
3.3%
Other values (56) 1542
39.8%
Uppercase Letter
ValueCountFrequency (%)
A 42
14.5%
E 28
9.7%
Z 27
9.3%
D 25
8.7%
П 24
8.3%
P 24
8.3%
C 19
 
6.6%
T 17
 
5.9%
F 16
 
5.5%
И 15
 
5.2%
Other values (16) 52
18.0%
Nonspacing Mark
ValueCountFrequency (%)
38
58.5%
19
29.2%
ّ 4
 
6.2%
2
 
3.1%
1
 
1.5%
1
 
1.5%
Spacing Mark
ValueCountFrequency (%)
46
43.8%
42
40.0%
ি 13
 
12.4%
4
 
3.8%
Other Punctuation
ValueCountFrequency (%)
۔ 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
809
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3419
48.1%
Arabic 1178
 
16.6%
Common 818
 
11.5%
Cyrillic 744
 
10.5%
Bengali 599
 
8.4%
Hangul 199
 
2.8%
Han 143
 
2.0%
Inherited 4
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 465
13.6%
n 394
 
11.5%
o 241
 
7.0%
l 228
 
6.7%
i 217
 
6.3%
a 190
 
5.6%
r 180
 
5.3%
s 163
 
4.8%
t 128
 
3.7%
p 126
 
3.7%
Other values (49) 1087
31.8%
Hangul
ValueCountFrequency (%)
27
13.6%
26
13.1%
26
13.1%
23
11.6%
18
 
9.0%
10
 
5.0%
5
 
2.5%
5
 
2.5%
4
 
2.0%
4
 
2.0%
Other values (36) 51
25.6%
Arabic
ValueCountFrequency (%)
ا 142
 
12.1%
ر 114
 
9.7%
ن 112
 
9.5%
ل 110
 
9.3%
ت 103
 
8.7%
د 70
 
5.9%
ب 54
 
4.6%
م 42
 
3.6%
ی 37
 
3.1%
ں 35
 
3.0%
Other values (33) 359
30.5%
Bengali
ValueCountFrequency (%)
117
19.5%
46
 
7.7%
46
 
7.7%
42
 
7.0%
42
 
7.0%
38
 
6.3%
35
 
5.8%
30
 
5.0%
29
 
4.8%
23
 
3.8%
Other values (29) 151
25.2%
Han
ValueCountFrequency (%)
24
16.8%
23
16.1%
22
15.4%
19
13.3%
5
 
3.5%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
Other values (29) 35
24.5%
Cyrillic
ValueCountFrequency (%)
е 86
 
11.6%
а 81
 
10.9%
н 67
 
9.0%
т 60
 
8.1%
о 48
 
6.5%
р 45
 
6.0%
з 34
 
4.6%
и 27
 
3.6%
в 27
 
3.6%
й 26
 
3.5%
Other values (23) 243
32.7%
Common
ValueCountFrequency (%)
809
98.9%
- 5
 
0.6%
( 1
 
0.1%
) 1
 
0.1%
3 1
 
0.1%
. 1
 
0.1%
Inherited
ValueCountFrequency (%)
ّ 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4041
56.9%
Arabic 1182
 
16.6%
Cyrillic 744
 
10.5%
Bengali 599
 
8.4%
Hangul 199
 
2.8%
None 196
 
2.8%
CJK 143
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
809
20.0%
e 465
11.5%
n 394
 
9.8%
o 241
 
6.0%
l 228
 
5.6%
i 217
 
5.4%
a 190
 
4.7%
r 180
 
4.5%
s 163
 
4.0%
t 128
 
3.2%
Other values (42) 1026
25.4%
Arabic
ValueCountFrequency (%)
ا 142
 
12.0%
ر 114
 
9.6%
ن 112
 
9.5%
ل 110
 
9.3%
ت 103
 
8.7%
د 70
 
5.9%
ب 54
 
4.6%
م 42
 
3.6%
ی 37
 
3.1%
ں 35
 
3.0%
Other values (34) 363
30.7%
Bengali
ValueCountFrequency (%)
117
19.5%
46
 
7.7%
46
 
7.7%
42
 
7.0%
42
 
7.0%
38
 
6.3%
35
 
5.8%
30
 
5.0%
29
 
4.8%
23
 
3.8%
Other values (29) 151
25.2%
Cyrillic
ValueCountFrequency (%)
е 86
 
11.6%
а 81
 
10.9%
н 67
 
9.0%
т 60
 
8.1%
о 48
 
6.5%
р 45
 
6.0%
з 34
 
4.6%
и 27
 
3.6%
в 27
 
3.6%
й 26
 
3.5%
Other values (23) 243
32.7%
None
ValueCountFrequency (%)
è 50
25.5%
í 32
16.3%
ó 25
12.8%
ż 25
12.8%
ł 24
12.2%
é 22
11.2%
ô 5
 
2.6%
ę 3
 
1.5%
ć 3
 
1.5%
ź 3
 
1.5%
Other values (3) 4
 
2.0%
Hangul
ValueCountFrequency (%)
27
13.6%
26
13.1%
26
13.1%
23
11.6%
18
 
9.0%
10
 
5.0%
5
 
2.5%
5
 
2.5%
4
 
2.0%
4
 
2.0%
Other values (36) 51
25.6%
CJK
ValueCountFrequency (%)
24
16.8%
23
16.1%
22
15.4%
19
13.3%
5
 
3.5%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
3
 
2.1%
Other values (29) 35
24.5%
Distinct54
Distinct (%)14.4%
Missing625
Missing (%)62.5%
Memory size60.9 KiB
http://www1.nyc.gov/site/dca/consumers/file-your-taxes.page
 
44
https://discoverdycd.dycdconnect.nyc/program-public
 
22
https://a069-access.nyc.gov/ACCESSNYC/application.do
 
22
https://application.nycsyep.com/
 
20
https://discoverdycd.dycdconnect.nyc/
 
18
Other values (49)
249 
(Missing)
625 
ValueCountFrequency (%)
http://www1.nyc.gov/site/dca/consumers/file-your-taxes.page 44
 
4.4%
https://discoverdycd.dycdconnect.nyc/program-public 22
 
2.2%
https://a069-access.nyc.gov/ACCESSNYC/application.do 22
 
2.2%
https://application.nycsyep.com/ 20
 
2.0%
https://discoverdycd.dycdconnect.nyc/ 18
 
1.8%
https://lyfenyc.org/wp-content/uploads/2022/04/Enrollment-Packet-2022-Updated.pdf 11
 
1.1%
https://www1.nyc.gov/site/sbs/careers/find-a-job.page 11
 
1.1%
https://selfserve.nycha.info/nycha/app/eservice/enu?SWECmd=GotoView&SWEView=NYCHA+OUI+Notice+Instruction+View 11
 
1.1%
https://www1.nyc.gov/assets/doh/downloads/pdf/ms/nfp-client-referral-form.pdf 11
 
1.1%
https://a069-access.nyc.gov/accesshra/fairfares 11
 
1.1%
Other values (44) 194
 
19.4%
(Missing) 625
62.5%
ValueCountFrequency (%)
https 320
32.0%
http 55
 
5.5%
(Missing) 625
62.5%
ValueCountFrequency (%)
www1.nyc.gov 100
 
10.0%
discoverdycd.dycdconnect.nyc 44
 
4.4%
a836-pts-efile.nyc.gov 42
 
4.2%
a069-access.nyc.gov 35
 
3.5%
www.myschools.nyc 24
 
2.4%
application.nycsyep.com 22
 
2.2%
lyfenyc.org 11
 
1.1%
dol.ny.gov 11
 
1.1%
www.schools.nyc.gov 11
 
1.1%
selfserve.nycha.info 11
 
1.1%
Other values (12) 64
 
6.4%
(Missing) 625
62.5%
ValueCountFrequency (%)
/ 62
 
6.2%
/site/dca/consumers/file-your-taxes.page 44
 
4.4%
/program-public 22
 
2.2%
/ACCESSNYC/application.do 22
 
2.2%
/assets/doh/downloads/pdf/ms/nfp-client-referral-form.pdf 11
 
1.1%
/site/hra/help/childsupportmobile.page 11
 
1.1%
/SmartFile/Filing/FilingType/Info/NYC_VET 11
 
1.1%
/enrollment/enroll-grade-by-grade/middle-school 11
 
1.1%
/accesshra/fairfares 11
 
1.1%
/unemployment/unemployment-insurance-assistance 11
 
1.1%
Other values (34) 159
 
15.9%
(Missing) 625
62.5%
ValueCountFrequency (%)
354
35.4%
SWECmd=GotoView&SWEView=NYCHA+OUI+Notice+Instruction+View 11
 
1.1%
id=nv_flow&ebbp=true 9
 
0.9%
language=en_US&LanguageCode=en_US 1
 
0.1%
(Missing) 625
62.5%
ValueCountFrequency (%)
375
37.5%
(Missing) 625
62.5%
Distinct176
Distinct (%)100.0%
Missing824
Missing (%)82.4%
Memory size205.3 KiB
2023-12-09T20:32:10.935618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1525
Median length521.5
Mean length552.2443182
Min length115

Characters and Unicode

Total characters97195
Distinct characters811
Distinct categories17 ?
Distinct scripts8 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)100.0%

Sample

1st row\nImprimez une (https://www1.nyc.gov/assets/rentfreeze/downloads/pdf/scrie/scrie-initial-application-only.pdf) demande initiale (https://www1.nyc.gov/assets/hpd/downloads/pdfs/services/scrie-application.pdf) et remplissez-la. Vous pouvez aussi en prendre une au Centre d’assistance SCRIE ou appeler le 311 (mailto:SCRIE@hpd.nyc.gov) pour demander à ce qu’une demande vous soit envoyée par courrier postal.\nEnvoyez votre demande dûment remplie et signée accompagnée des pièces justificatives à l’adresse :Rent Freeze Program – SCRIEP.O. Box 3179Union, NJ 07083Si vous vivez dans un logement social Mitchell-Lama ou Redevelopment Company :\nTéléchargez la demande HPD SCRIE et envoyez-la par courrier postal à l’adresse :HPD SCRIE Unit100 Gold Street, 7th floor New York, New York, 10038\nVous pouvez également envoyer par courriel votre demande dûment remplie par courriel à l’adresse SCRIE@hpd.nyc.gov.
2nd rowYou will need these forms when filing your tax return:\nChild and Dependent Care Expenses form: Form 2441 (https://www.irs.gov/pub/irs-pdf/f2441.pdf) .\nU.S. Individual Income Tax Return: Form 1040 (https://www.irs.gov/pub/irs-pdf/f1040.pdf)  or U.S. Nonresident Income Tax Return: (https://www.irs.gov/forms-pubs/about-form-1040-nr) Form 1040NR.
3rd rowأفضل طريقة للتقدم بطلب هي تقديمه بشكل شخصي. اعثر على برنامج على الموقع الإلكتروني (https://www.myschools.nyc/ar/schools/3k/) MySchools (https://www1.nyc.gov/site/acs/early-care/forms.page) ثم توجه لزيارته. وسيساعدك فريق عمل البرنامج في إكمال الطلب والتأكد من خلوه من الأخطاء.\n (mailto:ccapplication@schools.nyc.gov) نزل الطلب بلغتك (http://www.nyc.gov/html/hra/html/services/job_centers.shtml) أو اتصل على الرقم 311 لطلب واحد ليرسل إليك عبر البريد.\nأرسل طلبك عبر البريد الإلكتروني إلى \nccapplication@schools.nyc.gov\nإذا لم يكن باستطاعتك إرسال بريد إلكتروني، يمكنك أيضًا إرسال طلبك عبر البريد إلى: NYC DOE Family Welcome Center333Seventh Avenue12th floorNew York NY 10001إذا كنت تحصل بالفعل على مخصصات إدارة HRA، فتقدم بطلب إلى مركز الوصول إلى مخصصات (Benefits Access Center) التابع لإدارة HRA المحدد لك بدلًا من ذلك.
4th rowআবেদন করার সর্বোত্তম উপায় হল সশরীরে যাওয়া। MySchools (https://www.myschools.nyc/bn/schools/3k/) -এ একটি প্রোগ্রাম খুঁজুন এবং এটি দেখুন। প্রোগ্রাম কর্মীরা আপনাকে আবেদনটি সম্পূর্ণ করতে সাহায্য করবে এবং নিশ্চিত করবে যে সেটিতে কোনো ভুল নেই।\n (https://www1.nyc.gov/site/acs/early-care/forms.page) আপনার ভাষায় আবেদনটি ডাউনলোড করুন (mailto:ccapplication@schools.nyc.gov) অথবা মেলে অনুরোধ করার জন্য 311 নম্বরে কল করুন।\nতারপর আপনার আবেদনপত্রটি ইমেলে পাঠান \nccapplication@schools.nyc.gov (http://www.nyc.gov/html/hra/html/services/job_centers.shtml) -এ।\nআপনি যদি ইমেল করতে না পারেন তবে আপনি আপনার আবেদনটি এখানেও মেল করতে পারেন: NYC DOE Family Welcome Center333 7th Ave12th floorNew York NY 10001আপনি যদি ইতিমধ্যে HRA এর সুবিধা লাভ করে থাকেন তাহলেও আপনি আপনার নির্ধারিত HRA সুবিধা অর্জন কেন্দ্রে (HRA Benefits Access Center) আবেদন করতে পারেন।
5th row本人親自申請是最佳方式。透過 MySchools (https://www.myschools.nyc/zh-hant/schools/3k/) 尋找計畫並查閱。計畫的工作人員將幫助您完成此申請表並確保無誤。\n (https://www1.nyc.gov/site/acs/early-care/forms.page) 下載您的語言版本的申請 (mailto:ccapplication@schools.nyc.gov) 或致電 311,要求郵寄申請表。\n將您的申請透過電子郵件發送至 \nccapplication@schools.nyc.gov (http://www.nyc.gov/html/hra/html/services/job_centers.shtml) \n如果您無法發送電子郵件,您也可以將申請郵寄至:NYC DOE Family Welcome Center333 7th Ave12th floorNew York NY 10001如果您已經獲得人力資源管理局 (HRA) 福利,您也可以在指定的 HRA 福利領取中心申請。
ValueCountFrequency (%)
york 155
 
1.3%
de 130
 
1.1%
new 95
 
0.8%
311 86
 
0.7%
box 83
 
0.7%
la 78
 
0.7%
ou 76
 
0.7%
of 68
 
0.6%
ny 66
 
0.6%
63
 
0.5%
Other values (3407) 10684
92.2%
2023-12-09T20:32:11.415628image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11371
 
11.7%
e 5035
 
5.2%
o 4336
 
4.5%
n 4220
 
4.3%
a 3963
 
4.1%
t 3399
 
3.5%
i 3077
 
3.2%
s 3054
 
3.1%
r 2724
 
2.8%
p 2442
 
2.5%
Other values (801) 53574
55.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 54318
55.9%
Other Letter 13592
 
14.0%
Space Separator 11415
 
11.7%
Other Punctuation 5793
 
6.0%
Uppercase Letter 4866
 
5.0%
Decimal Number 3580
 
3.7%
Spacing Mark 1097
 
1.1%
Dash Punctuation 693
 
0.7%
Open Punctuation 537
 
0.6%
Close Punctuation 534
 
0.5%
Other values (7) 770
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 914
 
6.7%
ل 647
 
4.8%
ر 478
 
3.5%
437
 
3.2%
411
 
3.0%
م 403
 
3.0%
ی 388
 
2.9%
ت 363
 
2.7%
و 348
 
2.6%
ک 299
 
2.2%
Other values (608) 8904
65.5%
Lowercase Letter
ValueCountFrequency (%)
e 5035
 
9.3%
o 4336
 
8.0%
n 4220
 
7.8%
a 3963
 
7.3%
t 3399
 
6.3%
i 3077
 
5.7%
s 3054
 
5.6%
r 2724
 
5.0%
p 2442
 
4.5%
l 2066
 
3.8%
Other values (70) 20002
36.8%
Uppercase Letter
ValueCountFrequency (%)
S 447
 
9.2%
A 384
 
7.9%
C 379
 
7.8%
E 360
 
7.4%
R 352
 
7.2%
N 351
 
7.2%
B 314
 
6.5%
P 310
 
6.4%
Y 294
 
6.0%
O 187
 
3.8%
Other values (35) 1488
30.6%
Other Punctuation
ValueCountFrequency (%)
/ 2145
37.0%
. 1725
29.8%
\ 533
 
9.2%
: 529
 
9.1%
, 482
 
8.3%
63
 
1.1%
60
 
1.0%
۔ 52
 
0.9%
@ 39
 
0.7%
38
 
0.7%
Other values (8) 127
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 965
27.0%
0 767
21.4%
2 456
12.7%
3 394
11.0%
7 260
 
7.3%
8 228
 
6.4%
4 166
 
4.6%
5 143
 
4.0%
6 104
 
2.9%
9 97
 
2.7%
Nonspacing Mark
ValueCountFrequency (%)
254
51.4%
89
 
18.0%
86
 
17.4%
ً 28
 
5.7%
23
 
4.7%
ُ 9
 
1.8%
ّ 2
 
0.4%
ِ 1
 
0.2%
1
 
0.2%
1
 
0.2%
Spacing Mark
ValueCountFrequency (%)
403
36.7%
374
34.1%
ি 194
17.7%
74
 
6.7%
37
 
3.4%
14
 
1.3%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 532
99.1%
2
 
0.4%
1
 
0.2%
[ 1
 
0.2%
1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 530
99.3%
2
 
0.4%
] 1
 
0.2%
1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 669
96.5%
23
 
3.3%
1
 
0.1%
Final Punctuation
ValueCountFrequency (%)
43
91.5%
» 2
 
4.3%
2
 
4.3%
Space Separator
ValueCountFrequency (%)
11371
99.6%
  44
 
0.4%
Initial Punctuation
ValueCountFrequency (%)
« 2
50.0%
2
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 175
100.0%
Math Symbol
ValueCountFrequency (%)
= 33
100.0%
Format
ValueCountFrequency (%)
15
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 53922
55.5%
Common 22776
23.4%
Arabic 7428
 
7.6%
Cyrillic 5262
 
5.4%
Bengali 4528
 
4.7%
Hangul 1867
 
1.9%
Han 1372
 
1.4%
Inherited 40
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
83
 
6.0%
69
 
5.0%
49
 
3.6%
40
 
2.9%
40
 
2.9%
28
 
2.0%
27
 
2.0%
26
 
1.9%
22
 
1.6%
21
 
1.5%
Other values (301) 967
70.5%
Hangul
ValueCountFrequency (%)
81
 
4.3%
68
 
3.6%
65
 
3.5%
63
 
3.4%
56
 
3.0%
55
 
2.9%
53
 
2.8%
40
 
2.1%
39
 
2.1%
37
 
2.0%
Other values (215) 1310
70.2%
Latin
ValueCountFrequency (%)
e 5035
 
9.3%
o 4336
 
8.0%
n 4220
 
7.8%
a 3963
 
7.3%
t 3399
 
6.3%
i 3077
 
5.7%
s 3054
 
5.7%
r 2724
 
5.1%
p 2442
 
4.5%
l 2066
 
3.8%
Other values (66) 19606
36.4%
Common
ValueCountFrequency (%)
11371
49.9%
/ 2145
 
9.4%
. 1725
 
7.6%
1 965
 
4.2%
0 767
 
3.4%
- 669
 
2.9%
\ 533
 
2.3%
( 532
 
2.3%
) 530
 
2.3%
: 529
 
2.3%
Other values (40) 3010
 
13.2%
Arabic
ValueCountFrequency (%)
ا 914
 
12.3%
ل 647
 
8.7%
ر 478
 
6.4%
م 403
 
5.4%
ی 388
 
5.2%
ت 363
 
4.9%
و 348
 
4.7%
ک 299
 
4.0%
ن 290
 
3.9%
ب 285
 
3.8%
Other values (39) 3013
40.6%
Cyrillic
ValueCountFrequency (%)
о 576
 
10.9%
е 528
 
10.0%
а 409
 
7.8%
и 369
 
7.0%
т 363
 
6.9%
н 322
 
6.1%
п 254
 
4.8%
в 248
 
4.7%
л 214
 
4.1%
р 201
 
3.8%
Other values (39) 1778
33.8%
Bengali
ValueCountFrequency (%)
437
 
9.7%
411
 
9.1%
403
 
8.9%
374
 
8.3%
254
 
5.6%
248
 
5.5%
235
 
5.2%
ি 194
 
4.3%
191
 
4.2%
143
 
3.2%
Other values (37) 1638
36.2%
Inherited
ValueCountFrequency (%)
ً 28
70.0%
ُ 9
 
22.5%
ّ 2
 
5.0%
ِ 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75582
77.8%
Arabic 7499
 
7.7%
Cyrillic 5262
 
5.4%
Bengali 4528
 
4.7%
Hangul 1867
 
1.9%
CJK 1372
 
1.4%
None 935
 
1.0%
Punctuation 87
 
0.1%
Devanagari 63
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11371
 
15.0%
e 5035
 
6.7%
o 4336
 
5.7%
n 4220
 
5.6%
a 3963
 
5.2%
t 3399
 
4.5%
i 3077
 
4.1%
s 3054
 
4.0%
r 2724
 
3.6%
p 2442
 
3.2%
Other values (71) 31961
42.3%
Arabic
ValueCountFrequency (%)
ا 914
 
12.2%
ل 647
 
8.6%
ر 478
 
6.4%
م 403
 
5.4%
ی 388
 
5.2%
ت 363
 
4.8%
و 348
 
4.6%
ک 299
 
4.0%
ن 290
 
3.9%
ب 285
 
3.8%
Other values (44) 3084
41.1%
Cyrillic
ValueCountFrequency (%)
о 576
 
10.9%
е 528
 
10.0%
а 409
 
7.8%
и 369
 
7.0%
т 363
 
6.9%
н 322
 
6.1%
п 254
 
4.8%
в 248
 
4.7%
л 214
 
4.1%
р 201
 
3.8%
Other values (39) 1778
33.8%
Bengali
ValueCountFrequency (%)
437
 
9.7%
411
 
9.1%
403
 
8.9%
374
 
8.3%
254
 
5.6%
248
 
5.5%
235
 
5.2%
ি 194
 
4.3%
191
 
4.2%
143
 
3.2%
Other values (37) 1638
36.2%
None
ValueCountFrequency (%)
é 113
12.1%
ł 84
 
9.0%
ż 71
 
7.6%
è 70
 
7.5%
ć 69
 
7.4%
60
 
6.4%
ó 59
 
6.3%
ą 48
 
5.1%
ę 45
 
4.8%
  44
 
4.7%
Other values (26) 272
29.1%
CJK
ValueCountFrequency (%)
83
 
6.0%
69
 
5.0%
49
 
3.6%
40
 
2.9%
40
 
2.9%
28
 
2.0%
27
 
2.0%
26
 
1.9%
22
 
1.6%
21
 
1.5%
Other values (301) 967
70.5%
Hangul
ValueCountFrequency (%)
81
 
4.3%
68
 
3.6%
65
 
3.5%
63
 
3.4%
56
 
3.0%
55
 
2.9%
53
 
2.8%
40
 
2.1%
39
 
2.1%
37
 
2.0%
Other values (215) 1310
70.2%
Devanagari
ValueCountFrequency (%)
63
100.0%
Punctuation
ValueCountFrequency (%)
43
49.4%
23
26.4%
15
 
17.2%
2
 
2.3%
2
 
2.3%
1
 
1.1%
1
 
1.1%
Distinct38
Distinct (%)29.0%
Missing869
Missing (%)86.9%
Memory size40.0 KiB
2023-12-09T20:32:11.667657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length36
Median length25
Mean length16.51908397
Min length4

Characters and Unicode

Total characters2164
Distinct characters119
Distinct categories7 ?
Distinct scripts7 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)16.8%

Sample

1st rowTéléchargez le formulaire
2nd rowنزل الطلب
3rd rowআবেদনপত্রটি ডাউনলোড করুন।
4th row下載申請表
5th rowDownload the application
ValueCountFrequency (%)
telechaje 12
 
3.5%
ডাউনলোড 12
 
3.5%
pobierz 12
 
3.5%
양식 11
 
3.2%
کریں 11
 
3.2%
다운로드 11
 
3.2%
le 11
 
3.2%
করুন 11
 
3.2%
formulaire 11
 
3.2%
لوڈ 11
 
3.2%
Other values (50) 226
66.7%
2023-12-09T20:32:12.053872image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
 
9.6%
e 132
 
6.1%
r 111
 
5.1%
a 104
 
4.8%
l 96
 
4.4%
o 86
 
4.0%
ا 50
 
2.3%
m 49
 
2.3%
f 48
 
2.2%
i 47
 
2.2%
Other values (109) 1233
57.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1172
54.2%
Other Letter 651
30.1%
Space Separator 208
 
9.6%
Uppercase Letter 69
 
3.2%
Spacing Mark 37
 
1.7%
Nonspacing Mark 24
 
1.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 50
 
7.7%
ل 45
 
6.9%
ر 30
 
4.6%
م 30
 
4.6%
ن 27
 
4.1%
26
 
4.0%
24
 
3.7%
24
 
3.7%
ڈ 22
 
3.4%
ت 18
 
2.8%
Other values (50) 355
54.5%
Lowercase Letter
ValueCountFrequency (%)
e 132
 
11.3%
r 111
 
9.5%
a 104
 
8.9%
l 96
 
8.2%
o 86
 
7.3%
m 49
 
4.2%
f 48
 
4.1%
i 47
 
4.0%
u 44
 
3.8%
c 41
 
3.5%
Other values (35) 414
35.3%
Uppercase Letter
ValueCountFrequency (%)
T 24
34.8%
D 21
30.4%
P 12
17.4%
С 9
 
13.0%
З 3
 
4.3%
Spacing Mark
ValueCountFrequency (%)
12
32.4%
12
32.4%
ি 11
29.7%
2
 
5.4%
Nonspacing Mark
ValueCountFrequency (%)
12
50.0%
12
50.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
1
33.3%
Space Separator
ValueCountFrequency (%)
208
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1071
49.5%
Arabic 360
 
16.6%
Bengali 212
 
9.8%
Common 211
 
9.8%
Cyrillic 170
 
7.9%
Hangul 90
 
4.2%
Han 50
 
2.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 132
12.3%
r 111
 
10.4%
a 104
 
9.7%
l 96
 
9.0%
o 86
 
8.0%
m 49
 
4.6%
f 48
 
4.5%
i 47
 
4.4%
u 44
 
4.1%
c 41
 
3.8%
Other values (18) 313
29.2%
Arabic
ValueCountFrequency (%)
ا 50
13.9%
ل 45
12.5%
ر 30
 
8.3%
م 30
 
8.3%
ن 27
 
7.5%
ڈ 22
 
6.1%
ت 18
 
5.0%
و 17
 
4.7%
ی 11
 
3.1%
ک 11
 
3.1%
Other values (16) 99
27.5%
Cyrillic
ValueCountFrequency (%)
а 26
15.3%
у 12
 
7.1%
к 12
 
7.1%
т 12
 
7.1%
р 12
 
7.1%
С 9
 
5.3%
м 9
 
5.3%
о 9
 
5.3%
ф 9
 
5.3%
ь 9
 
5.3%
Other values (12) 51
30.0%
Bengali
ValueCountFrequency (%)
26
12.3%
24
11.3%
24
11.3%
12
 
5.7%
12
 
5.7%
12
 
5.7%
12
 
5.7%
12
 
5.7%
12
 
5.7%
12
 
5.7%
Other values (10) 54
25.5%
Hangul
ValueCountFrequency (%)
13
14.4%
13
14.4%
13
14.4%
13
14.4%
11
12.2%
11
12.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (4) 8
8.9%
Han
ValueCountFrequency (%)
12
24.0%
12
24.0%
12
24.0%
10
20.0%
2
 
4.0%
2
 
4.0%
Common
ValueCountFrequency (%)
208
98.6%
. 2
 
0.9%
1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1247
57.6%
Arabic 360
 
16.6%
Bengali 212
 
9.8%
Cyrillic 170
 
7.9%
Hangul 90
 
4.2%
CJK 50
 
2.3%
None 34
 
1.6%
Devanagari 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
208
16.7%
e 132
10.6%
r 111
 
8.9%
a 104
 
8.3%
l 96
 
7.7%
o 86
 
6.9%
m 49
 
3.9%
f 48
 
3.8%
i 47
 
3.8%
u 44
 
3.5%
Other values (18) 322
25.8%
Arabic
ValueCountFrequency (%)
ا 50
13.9%
ل 45
12.5%
ر 30
 
8.3%
م 30
 
8.3%
ن 27
 
7.5%
ڈ 22
 
6.1%
ت 18
 
5.0%
و 17
 
4.7%
ی 11
 
3.1%
ک 11
 
3.1%
Other values (16) 99
27.5%
Bengali
ValueCountFrequency (%)
26
12.3%
24
11.3%
24
11.3%
12
 
5.7%
12
 
5.7%
12
 
5.7%
12
 
5.7%
12
 
5.7%
12
 
5.7%
12
 
5.7%
Other values (10) 54
25.5%
Cyrillic
ValueCountFrequency (%)
а 26
15.3%
у 12
 
7.1%
к 12
 
7.1%
т 12
 
7.1%
р 12
 
7.1%
С 9
 
5.3%
м 9
 
5.3%
о 9
 
5.3%
ф 9
 
5.3%
ь 9
 
5.3%
Other values (12) 51
30.0%
None
ValueCountFrequency (%)
é 24
70.6%
ò 10
29.4%
Hangul
ValueCountFrequency (%)
13
14.4%
13
14.4%
13
14.4%
13
14.4%
11
12.2%
11
12.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (4) 8
8.9%
CJK
ValueCountFrequency (%)
12
24.0%
12
24.0%
12
24.0%
10
20.0%
2
 
4.0%
2
 
4.0%
Devanagari
ValueCountFrequency (%)
1
100.0%
Distinct76
Distinct (%)52.8%
Missing856
Missing (%)85.6%
Memory size45.0 KiB
https://www1.nyc.gov/assets/finance/downloads/pdf/payment_operations/2020/veterans.pdf
 
11
https://www1.nyc.gov/site/acs/early-care/forms.page
 
11
https://www1.nyc.gov/assets/finance/downloads/pdf/payment_operations/2020/star-to-estar.pdf
 
10
https://access.nyc.gov/wp-content/uploads/2017/03/Senior_Employment_Services_Form.pdf
 
10
https://www.health.ny.gov/forms/doh-799.pdf
 
10
Other values (71)
92 
(Missing)
856 
ValueCountFrequency (%)
https://www1.nyc.gov/assets/finance/downloads/pdf/payment_operations/2020/veterans.pdf 11
 
1.1%
https://www1.nyc.gov/site/acs/early-care/forms.page 11
 
1.1%
https://www1.nyc.gov/assets/finance/downloads/pdf/payment_operations/2020/star-to-estar.pdf 10
 
1.0%
https://access.nyc.gov/wp-content/uploads/2017/03/Senior_Employment_Services_Form.pdf 10
 
1.0%
https://www.health.ny.gov/forms/doh-799.pdf 10
 
1.0%
https://otda.ny.gov/programs/applications/5143.pdf 9
 
0.9%
https://otda.ny.gov/programs/applications/3421.pdf 4
 
0.4%
https://otda.ny.gov/programs/applications/2921.pdf 4
 
0.4%
https://www1.nyc.gov/assets/doh/downloads/pdf/ms/nfp-client-referral-form.pdf 4
 
0.4%
https://otda.ny.gov/programs/applications/4826.pdf 3
 
0.3%
Other values (66) 68
 
6.8%
(Missing) 856
85.6%
ValueCountFrequency (%)
https 141
 
14.1%
http 3
 
0.3%
(Missing) 856
85.6%
ValueCountFrequency (%)
www1.nyc.gov 75
 
7.5%
otda.ny.gov 43
 
4.3%
access.nyc.gov 14
 
1.4%
www.health.ny.gov 10
 
1.0%
access-nyc-s3-uploads.s3.amazonaws.com 1
 
0.1%
www.irs.gov 1
 
0.1%
(Missing) 856
85.6%
ValueCountFrequency (%)
/site/acs/early-care/forms.page 11
 
1.1%
/assets/finance/downloads/pdf/payment_operations/2020/veterans.pdf 11
 
1.1%
/programs/applications/5143.pdf 11
 
1.1%
/wp-content/uploads/2017/03/Senior_Employment_Services_Form.pdf 10
 
1.0%
/assets/finance/downloads/pdf/payment_operations/2020/star-to-estar.pdf 10
 
1.0%
/forms/doh-799.pdf 10
 
1.0%
/programs/applications/3421.pdf 4
 
0.4%
/programs/applications/4826.pdf 4
 
0.4%
/programs/applications/2921.pdf 4
 
0.4%
/assets/doh/downloads/pdf/ms/nfp-client-referral-form.pdf 4
 
0.4%
Other values (64) 65
 
6.5%
(Missing) 856
85.6%
ValueCountFrequency (%)
144
 
14.4%
(Missing) 856
85.6%
ValueCountFrequency (%)
144
 
14.4%
(Missing) 856
85.6%
Distinct334
Distinct (%)93.0%
Missing641
Missing (%)64.1%
Memory size290.9 KiB
2023-12-09T20:32:12.270892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1485
Median length572
Mean length404.6685237
Min length12

Characters and Unicode

Total characters145276
Distinct characters1019
Distinct categories19 ?
Distinct scripts8 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique310 ?
Unique (%)86.4%

Sample

1st rowTrouvez un Centre d’assistance du ministère des Finances (Department of Finance Assistance Center) (https://www1.nyc.gov/site/rentfreeze/help/help-temporary-centers.page) près de chez vous pour déposer une demande. Vous pouvez avoir besoin de prendre rendez-vous pour vous rendre dans un centre.
2nd rowستحتاج إلى هذا الخطاب عند تقديم إقرارك الضريبي:\nنموذج نفقات رعاية الطفل والمعال: النموذج 2441 (https://www.irs.gov/pub/irs-pdf/f2441.pdf) .\nإقرار ضريبة الدخل الفردي بالولايات المتحدة: النموذج 1040 (https://www.irs.gov/pub/irs-pdf/f1040.pdf) أو إقرار ضريبة الدخل بالولايات المتحدة لغير المقيمين: (https://www.irs.gov/forms-pubs/about-form-1040-nr) النموذج 1040NR (https://www1.nyc.gov/site/dca/consumers/file-your-taxes.page) .إذا كسبت 72,000 دولار أو أقل في عام 2021، فيمكنك تقديم إقراراتك الضريبية بالمجان من خلال NYC Free Tax Prep. يتاح المعدون المتطوعون ببرنامج VITA/TCE المعتمدون من دائرة الإيرادات الداخلية (IRS) لمساعدتك في تقديم الإقرارات.\nخدمة تسليم المستندات الضريبيَّة: وهنا تقوم بتسليم مستنداتك الضريبية واستلام الإقرار الضريبي المكتمل لاحقًا.\n الحضور شخصيًا: يمكنك إعداد إقراراتك الضريبية مجانا في أحد مواقع إعداد الإقرار الضريبي القريبة منك.
3rd rowআপনার ট্যাক্স রিটার্ন দাখিল করার সময় আপনার এই ফর্মগুলির প্রয়োজন হবে:\nসন্তান এবং নির্ভরশীলের পরিচর্যাভিত্তিক ব্যয়ের ফর্ম (Child and Dependent Care Expenses form) ফর্ম 2441 (https://www.irs.gov/pub/irs-pdf/f2441.pdf) ।\nমার্কিন ব্যক্তিগত আয়কর রিটার্ন (U.S. Individual Income Tax Return): ফর্ম 1040 (https://www.irs.gov/pub/irs-pdf/f1040.pdf) অথবা মার্কিন অনাবাসিক আয়কর রিটার্ন (U.S. Nonresident Income Tax Return): (https://www.irs.gov/forms-pubs/about-form-1040-nr) ফর্ম 1040NR (https://www1.nyc.gov/site/dca/consumers/file-your-taxes.page) ।আপনি যদি 2021 সালে $72,000 বা তার কম আয় করেন, তাহলে আপনি NYC বিনামূল্যে কর প্রস্তুতি (NYC Free Tax Prep) এর মাধ্যমে বিনামূল্যে আপনার ট্যাক্স ফাইল করতে পারেন। IRS-প্রত্যয়িত VITA/TCE স্বেচ্ছাসেবক প্রস্তুতকারীরা আপনাকে ফাইল করতে সাহায্য করার জন্য উপলব্ধ।\nরেখে দিয়ে আসার পরিষেবা: আপনার করের নথিপত্র রেখে দিয়ে আসুন এবং পরে সম্পূর্ণ করা রিটার্ন নিয়ে নিন।\nসশরীরে: আপনার কাছাকাছি কোনো ট্যাক্স প্রস্তুতি অবস্থানে বিনামূল্যে আপনার কর প্রস্তুত করুন।
4th row您在報稅時將需要這些表單:\n「兒童和受撫養人照護費用」(Child and Dependent Care Expenses) 表單:表單 2441 (https://www.irs.gov/pub/irs-pdf/f2441.pdf) 。\n美國個人所得稅申報表 (U.S. Individual Income Tax Return):表單 1040 (https://www.irs.gov/pub/irs-pdf/f1040.pdf) 或美國非居民所得稅申報表 (U.S. Nonresident Income Tax Return): (https://www.irs.gov/forms-pubs/about-form-1040-nr) 表單 1040NR (https://www1.nyc.gov/site/dca/consumers/file-your-taxes.page) 。如果您於 2021 年的收入在 $72,000 或以下,您可以透過NYC 免費報稅服務進行免費報稅。經 IRS 認證的 VITA/TCE 報稅志工可協助您報稅。\n投件服務:您只要將報稅文件交給他們,稍後就能取得完成的文件\n當面辦理:您可以到附近的報稅服務據點親自辦理報稅,以免費享受報稅服務。
5th rowFile your taxes for free online with NYC Free Tax Prep (https://www1.nyc.gov/site/dca/consumers/file-your-taxes.page) if your family earned $80,000 or less or if you're a single filer who earned $56,000 or less in 2022. IRS-certified VITA/TCE volunteer preparers can help you file in person, or when you drop off your documents.
ValueCountFrequency (%)
de 346
 
2.0%
150
 
0.9%
w 121
 
0.7%
ou 114
 
0.7%
la 108
 
0.6%
a 105
 
0.6%
nyc 100
 
0.6%
کے 96
 
0.6%
un 92
 
0.5%
en 88
 
0.5%
Other values (5292) 15815
92.3%
2023-12-09T20:32:12.671599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16727
 
11.5%
e 7422
 
5.1%
o 5903
 
4.1%
n 5872
 
4.0%
a 5607
 
3.9%
t 5213
 
3.6%
s 4806
 
3.3%
r 4504
 
3.1%
i 4104
 
2.8%
/ 3585
 
2.5%
Other values (1009) 81533
56.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 81987
56.4%
Other Letter 23546
 
16.2%
Space Separator 16791
 
11.6%
Other Punctuation 8760
 
6.0%
Uppercase Letter 4998
 
3.4%
Decimal Number 2896
 
2.0%
Spacing Mark 1868
 
1.3%
Dash Punctuation 1176
 
0.8%
Nonspacing Mark 975
 
0.7%
Open Punctuation 896
 
0.6%
Other values (9) 1383
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 1664
 
7.1%
ل 995
 
4.2%
ر 898
 
3.8%
م 878
 
3.7%
762
 
3.2%
ی 717
 
3.0%
ت 619
 
2.6%
ن 610
 
2.6%
و 599
 
2.5%
ک 598
 
2.5%
Other values (809) 15206
64.6%
Lowercase Letter
ValueCountFrequency (%)
e 7422
 
9.1%
o 5903
 
7.2%
n 5872
 
7.2%
a 5607
 
6.8%
t 5213
 
6.4%
s 4806
 
5.9%
r 4504
 
5.5%
i 4104
 
5.0%
p 3422
 
4.2%
c 2886
 
3.5%
Other values (69) 32248
39.3%
Uppercase Letter
ValueCountFrequency (%)
C 523
 
10.5%
S 358
 
7.2%
A 351
 
7.0%
P 335
 
6.7%
I 316
 
6.3%
N 288
 
5.8%
E 287
 
5.7%
F 283
 
5.7%
H 266
 
5.3%
Y 263
 
5.3%
Other values (37) 1728
34.6%
Other Punctuation
ValueCountFrequency (%)
/ 3585
40.9%
. 2752
31.4%
: 834
 
9.5%
\ 681
 
7.8%
, 374
 
4.3%
۔ 103
 
1.2%
102
 
1.2%
99
 
1.1%
" 59
 
0.7%
51
 
0.6%
Other values (8) 120
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 662
22.9%
0 659
22.8%
2 537
18.5%
4 297
10.3%
5 172
 
5.9%
8 144
 
5.0%
6 123
 
4.2%
3 122
 
4.2%
9 92
 
3.2%
7 88
 
3.0%
Nonspacing Mark
ValueCountFrequency (%)
594
60.9%
147
 
15.1%
120
 
12.3%
ً 38
 
3.9%
33
 
3.4%
17
 
1.7%
ُ 12
 
1.2%
ّ 8
 
0.8%
َ 5
 
0.5%
ِ 1
 
0.1%
Spacing Mark
ValueCountFrequency (%)
678
36.3%
590
31.6%
ি 413
22.1%
93
 
5.0%
55
 
2.9%
37
 
2.0%
2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 866
96.7%
11
 
1.2%
9
 
1.0%
8
 
0.9%
1
 
0.1%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 866
97.5%
11
 
1.2%
9
 
1.0%
1
 
0.1%
] 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1163
98.9%
12
 
1.0%
1
 
0.1%
Final Punctuation
ValueCountFrequency (%)
78
66.1%
35
29.7%
» 5
 
4.2%
Space Separator
ValueCountFrequency (%)
16727
99.6%
  64
 
0.4%
Initial Punctuation
ValueCountFrequency (%)
27
84.4%
« 5
 
15.6%
Math Symbol
ValueCountFrequency (%)
+ 24
51.1%
= 23
48.9%
Other Symbol
ValueCountFrequency (%)
4
57.1%
° 3
42.9%
Connector Punctuation
ValueCountFrequency (%)
_ 247
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 35
100.0%
Other Number
ValueCountFrequency (%)
6
100.0%
Modifier Letter
ValueCountFrequency (%)
ـ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 77275
53.2%
Common 31793
21.9%
Arabic 13526
 
9.3%
Cyrillic 9710
 
6.7%
Bengali 7681
 
5.3%
Hangul 2954
 
2.0%
Han 2273
 
1.6%
Inherited 64
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
93
 
4.1%
90
 
4.0%
45
 
2.0%
44
 
1.9%
42
 
1.8%
37
 
1.6%
35
 
1.5%
34
 
1.5%
28
 
1.2%
27
 
1.2%
Other values (420) 1798
79.1%
Hangul
ValueCountFrequency (%)
92
 
3.1%
87
 
2.9%
76
 
2.6%
69
 
2.3%
66
 
2.2%
66
 
2.2%
65
 
2.2%
63
 
2.1%
56
 
1.9%
50
 
1.7%
Other values (294) 2264
76.6%
Latin
ValueCountFrequency (%)
e 7422
 
9.6%
o 5903
 
7.6%
n 5872
 
7.6%
a 5607
 
7.3%
t 5213
 
6.7%
s 4806
 
6.2%
r 4504
 
5.8%
i 4104
 
5.3%
p 3422
 
4.4%
c 2886
 
3.7%
Other values (64) 27536
35.6%
Common
ValueCountFrequency (%)
16727
52.6%
/ 3585
 
11.3%
. 2752
 
8.7%
- 1163
 
3.7%
( 866
 
2.7%
) 866
 
2.7%
: 834
 
2.6%
\ 681
 
2.1%
1 662
 
2.1%
0 659
 
2.1%
Other values (45) 2998
 
9.4%
Cyrillic
ValueCountFrequency (%)
о 1095
 
11.3%
е 863
 
8.9%
а 753
 
7.8%
и 729
 
7.5%
т 589
 
6.1%
н 586
 
6.0%
р 477
 
4.9%
л 436
 
4.5%
в 398
 
4.1%
м 377
 
3.9%
Other values (42) 3407
35.1%
Bengali
ValueCountFrequency (%)
762
 
9.9%
678
 
8.8%
594
 
7.7%
594
 
7.7%
590
 
7.7%
454
 
5.9%
ি 413
 
5.4%
310
 
4.0%
295
 
3.8%
260
 
3.4%
Other values (40) 2731
35.6%
Arabic
ValueCountFrequency (%)
ا 1664
 
12.3%
ل 995
 
7.4%
ر 898
 
6.6%
م 878
 
6.5%
ی 717
 
5.3%
ت 619
 
4.6%
ن 610
 
4.5%
و 599
 
4.4%
ک 598
 
4.4%
د 495
 
3.7%
Other values (39) 5453
40.3%
Inherited
ValueCountFrequency (%)
ً 38
59.4%
ُ 12
 
18.8%
ّ 8
 
12.5%
َ 5
 
7.8%
ِ 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 107217
73.8%
Arabic 13635
 
9.4%
Cyrillic 9710
 
6.7%
Bengali 7681
 
5.3%
Hangul 2954
 
2.0%
CJK 2273
 
1.6%
None 1542
 
1.1%
Punctuation 161
 
0.1%
Devanagari 99
 
0.1%
Letterlike Symbols 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16727
 
15.6%
e 7422
 
6.9%
o 5903
 
5.5%
n 5872
 
5.5%
a 5607
 
5.2%
t 5213
 
4.9%
s 4806
 
4.5%
r 4504
 
4.2%
i 4104
 
3.8%
/ 3585
 
3.3%
Other values (71) 43474
40.5%
Arabic
ValueCountFrequency (%)
ا 1664
 
12.2%
ل 995
 
7.3%
ر 898
 
6.6%
م 878
 
6.4%
ی 717
 
5.3%
ت 619
 
4.5%
ن 610
 
4.5%
و 599
 
4.4%
ک 598
 
4.4%
د 495
 
3.6%
Other values (46) 5562
40.8%
Cyrillic
ValueCountFrequency (%)
о 1095
 
11.3%
е 863
 
8.9%
а 753
 
7.8%
и 729
 
7.5%
т 589
 
6.1%
н 586
 
6.0%
р 477
 
4.9%
л 436
 
4.5%
в 398
 
4.1%
м 377
 
3.9%
Other values (42) 3407
35.1%
Bengali
ValueCountFrequency (%)
762
 
9.9%
678
 
8.8%
594
 
7.7%
594
 
7.7%
590
 
7.7%
454
 
5.9%
ি 413
 
5.4%
310
 
4.0%
295
 
3.8%
260
 
3.4%
Other values (40) 2731
35.6%
None
ValueCountFrequency (%)
é 238
15.4%
ó 164
10.6%
è 136
 
8.8%
ł 104
 
6.7%
102
 
6.6%
ż 91
 
5.9%
ć 90
 
5.8%
ę 82
 
5.3%
ą 75
 
4.9%
ś 70
 
4.5%
Other values (28) 390
25.3%
Devanagari
ValueCountFrequency (%)
99
100.0%
CJK
ValueCountFrequency (%)
93
 
4.1%
90
 
4.0%
45
 
2.0%
44
 
1.9%
42
 
1.8%
37
 
1.6%
35
 
1.5%
34
 
1.5%
28
 
1.2%
27
 
1.2%
Other values (420) 1798
79.1%
Hangul
ValueCountFrequency (%)
92
 
3.1%
87
 
2.9%
76
 
2.6%
69
 
2.3%
66
 
2.2%
66
 
2.2%
65
 
2.2%
63
 
2.1%
56
 
1.9%
50
 
1.7%
Other values (294) 2264
76.6%
Punctuation
ValueCountFrequency (%)
78
48.4%
35
21.7%
27
 
16.8%
12
 
7.5%
8
 
5.0%
1
 
0.6%
Letterlike Symbols
ValueCountFrequency (%)
4
100.0%
Distinct156
Distinct (%)56.9%
Missing726
Missing (%)72.6%
Memory size51.4 KiB
2023-12-09T20:32:13.009685image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length65
Median length43
Mean length19.71532847
Min length2

Characters and Unicode

Total characters5402
Distinct characters262
Distinct categories10 ?
Distinct scripts8 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)40.5%

Sample

1st rowTrouvez un centre
2nd rowالبحث عن مكان إعداد الضرائب
3rd rowএকটি ট্যাক্স প্রস্তুতির স্থান খুঁজুন
4th row尋找納稅籌劃地點
5th rowFind a tax prep location
ValueCountFrequency (%)
un 32
 
3.5%
yon 23
 
2.5%
find 22
 
2.4%
a 21
 
2.3%
de 20
 
2.2%
تلاش 20
 
2.2%
찾기 20
 
2.2%
کریں 20
 
2.2%
খুঁজুন 20
 
2.2%
znajdź 18
 
2.0%
Other values (250) 704
76.5%
2023-12-09T20:32:13.517751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
646
 
12.0%
n 312
 
5.8%
e 265
 
4.9%
a 213
 
3.9%
o 182
 
3.4%
i 179
 
3.3%
r 172
 
3.2%
c 137
 
2.5%
t 133
 
2.5%
ا 130
 
2.4%
Other values (252) 3033
56.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2918
54.0%
Other Letter 1437
26.6%
Space Separator 646
 
12.0%
Uppercase Letter 202
 
3.7%
Nonspacing Mark 117
 
2.2%
Spacing Mark 69
 
1.3%
Other Punctuation 7
 
0.1%
Dash Punctuation 4
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 130
 
9.0%
ر 71
 
4.9%
ل 65
 
4.5%
ی 58
 
4.0%
م 58
 
4.0%
ک 48
 
3.3%
47
 
3.3%
ت 39
 
2.7%
34
 
2.4%
ع 32
 
2.2%
Other values (152) 855
59.5%
Lowercase Letter
ValueCountFrequency (%)
n 312
 
10.7%
e 265
 
9.1%
a 213
 
7.3%
o 182
 
6.2%
i 179
 
6.1%
r 172
 
5.9%
c 137
 
4.7%
t 133
 
4.6%
u 119
 
4.1%
d 93
 
3.2%
Other values (54) 1113
38.1%
Uppercase Letter
ValueCountFrequency (%)
E 25
12.4%
F 24
11.9%
T 23
11.4%
Н 20
9.9%
Z 20
9.9%
C 18
8.9%
A 14
6.9%
R 12
5.9%
H 11
5.4%
V 9
 
4.5%
Other values (8) 26
12.9%
Spacing Mark
ValueCountFrequency (%)
ি 27
39.1%
22
31.9%
14
20.3%
5
 
7.2%
1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
' 2
28.6%
. 2
28.6%
\ 1
14.3%
1
14.3%
1
14.3%
Nonspacing Mark
ValueCountFrequency (%)
48
41.0%
47
40.2%
20
17.1%
ً 2
 
1.7%
Space Separator
ValueCountFrequency (%)
646
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2599
48.1%
Arabic 856
 
15.8%
Common 659
 
12.2%
Cyrillic 521
 
9.6%
Bengali 462
 
8.6%
Han 158
 
2.9%
Hangul 145
 
2.7%
Inherited 2
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
21
 
13.3%
19
 
12.0%
7
 
4.4%
7
 
4.4%
7
 
4.4%
6
 
3.8%
5
 
3.2%
5
 
3.2%
5
 
3.2%
4
 
2.5%
Other values (50) 72
45.6%
Latin
ValueCountFrequency (%)
n 312
 
12.0%
e 265
 
10.2%
a 213
 
8.2%
o 182
 
7.0%
i 179
 
6.9%
r 172
 
6.6%
c 137
 
5.3%
t 133
 
5.1%
u 119
 
4.6%
d 93
 
3.6%
Other values (42) 794
30.6%
Arabic
ValueCountFrequency (%)
ا 130
15.2%
ر 71
 
8.3%
ل 65
 
7.6%
ی 58
 
6.8%
م 58
 
6.8%
ک 48
 
5.6%
ت 39
 
4.6%
ع 32
 
3.7%
ن 29
 
3.4%
د 25
 
2.9%
Other values (28) 301
35.2%
Hangul
ValueCountFrequency (%)
20
 
13.8%
20
 
13.8%
7
 
4.8%
7
 
4.8%
7
 
4.8%
7
 
4.8%
7
 
4.8%
7
 
4.8%
7
 
4.8%
5
 
3.4%
Other values (28) 51
35.2%
Bengali
ValueCountFrequency (%)
48
 
10.4%
47
 
10.2%
47
 
10.2%
34
 
7.4%
27
 
5.8%
ি 27
 
5.8%
26
 
5.6%
25
 
5.4%
22
 
4.8%
21
 
4.5%
Other values (24) 138
29.9%
Cyrillic
ValueCountFrequency (%)
е 55
 
10.6%
о 51
 
9.8%
и 49
 
9.4%
т 46
 
8.8%
а 42
 
8.1%
д 39
 
7.5%
й 30
 
5.8%
р 28
 
5.4%
н 21
 
4.0%
Н 20
 
3.8%
Other values (20) 140
26.9%
Common
ValueCountFrequency (%)
646
98.0%
- 4
 
0.6%
' 2
 
0.3%
. 2
 
0.3%
) 1
 
0.2%
( 1
 
0.2%
\ 1
 
0.2%
1
 
0.2%
1
 
0.2%
Inherited
ValueCountFrequency (%)
ً 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3164
58.6%
Arabic 858
 
15.9%
Cyrillic 521
 
9.6%
Bengali 462
 
8.6%
CJK 158
 
2.9%
Hangul 145
 
2.7%
None 94
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
646
20.4%
n 312
 
9.9%
e 265
 
8.4%
a 213
 
6.7%
o 182
 
5.8%
i 179
 
5.7%
r 172
 
5.4%
c 137
 
4.3%
t 133
 
4.2%
u 119
 
3.8%
Other values (38) 806
25.5%
Arabic
ValueCountFrequency (%)
ا 130
15.2%
ر 71
 
8.3%
ل 65
 
7.6%
ی 58
 
6.8%
م 58
 
6.8%
ک 48
 
5.6%
ت 39
 
4.5%
ع 32
 
3.7%
ن 29
 
3.4%
د 25
 
2.9%
Other values (29) 303
35.3%
Cyrillic
ValueCountFrequency (%)
е 55
 
10.6%
о 51
 
9.8%
и 49
 
9.4%
т 46
 
8.8%
а 42
 
8.1%
д 39
 
7.5%
й 30
 
5.8%
р 28
 
5.4%
н 21
 
4.0%
Н 20
 
3.8%
Other values (20) 140
26.9%
Bengali
ValueCountFrequency (%)
48
 
10.4%
47
 
10.2%
47
 
10.2%
34
 
7.4%
27
 
5.8%
ি 27
 
5.8%
26
 
5.6%
25
 
5.4%
22
 
4.8%
21
 
4.5%
Other values (24) 138
29.9%
None
ValueCountFrequency (%)
ź 23
24.5%
ó 19
20.2%
è 15
16.0%
ę 13
13.8%
ś 6
 
6.4%
é 6
 
6.4%
ą 3
 
3.2%
ż 2
 
2.1%
ł 2
 
2.1%
ć 2
 
2.1%
Other values (3) 3
 
3.2%
CJK
ValueCountFrequency (%)
21
 
13.3%
19
 
12.0%
7
 
4.4%
7
 
4.4%
7
 
4.4%
6
 
3.8%
5
 
3.2%
5
 
3.2%
5
 
3.2%
4
 
2.5%
Other values (50) 72
45.6%
Hangul
ValueCountFrequency (%)
20
 
13.8%
20
 
13.8%
7
 
4.8%
7
 
4.8%
7
 
4.8%
7
 
4.8%
7
 
4.8%
7
 
4.8%
7
 
4.8%
5
 
3.4%
Other values (28) 51
35.2%
Distinct32
Distinct (%)12.0%
Missing733
Missing (%)73.3%
Memory size51.7 KiB
https://a866-dcwpwb.nyc.gov/ftps_map/
 
55
http://www1.nyc.gov/site/finance/pay-now/person.page
 
23
https://www1.nyc.gov/site/rentfreeze/help/help-temporary-centers.page
 
21
https://www1.nyc.gov/site/hra/help/homebase-locations.page
 
11
https://lyfenyc.org/locations/
 
11
Other values (27)
146 
(Missing)
733 
ValueCountFrequency (%)
https://a866-dcwpwb.nyc.gov/ftps_map/ 55
 
5.5%
http://www1.nyc.gov/site/finance/pay-now/person.page 23
 
2.3%
https://www1.nyc.gov/site/rentfreeze/help/help-temporary-centers.page 21
 
2.1%
https://www1.nyc.gov/site/hra/help/homebase-locations.page 11
 
1.1%
https://lyfenyc.org/locations/ 11
 
1.1%
https://www1.nyc.gov/site/hra/locations/snap-locations.page 11
 
1.1%
https://www1.nyc.gov/site/fairfares/contact-us/contact-us.page 11
 
1.1%
https://www.health.ny.gov/community/pregnancy/family_planning/program_sites.htm 11
 
1.1%
https://www.health.ny.gov/prevention/nutrition/csfp/apply.htm 11
 
1.1%
http://www1.nyc.gov/site/hra/locations/job-locations.page 11
 
1.1%
Other values (22) 91
 
9.1%
(Missing) 733
73.3%
ValueCountFrequency (%)
https 232
 
23.2%
http 35
 
3.5%
(Missing) 733
73.3%
ValueCountFrequency (%)
www1.nyc.gov 110
 
11.0%
a866-dcwpwb.nyc.gov 55
 
5.5%
www.health.ny.gov 44
 
4.4%
access.nyc.gov 20
 
2.0%
maps.nyc.gov 11
 
1.1%
www.myschools.nyc 11
 
1.1%
lyfenyc.org 11
 
1.1%
otda.ny.gov 2
 
0.2%
www.schools.nyc.gov 2
 
0.2%
www.nyc.gov 1
 
0.1%
(Missing) 733
73.3%
ValueCountFrequency (%)
/ftps_map/ 55
 
5.5%
/locations/ 31
 
3.1%
/site/finance/pay-now/person.page 23
 
2.3%
/site/rentfreeze/help/help-temporary-centers.page 22
 
2.2%
/site/fairfares/contact-us/contact-us.page 11
 
1.1%
/site/idnyc/card/locations.page 11
 
1.1%
/site/hra/help/homebase-locations.page 11
 
1.1%
/community/pregnancy/health_care/prenatal/apply_for_coverage.htm 11
 
1.1%
/site/hra/locations/snap-locations.page 11
 
1.1%
/prevention/nutrition/wic/local_agencies.htm 11
 
1.1%
Other values (19) 70
 
7.0%
(Missing) 733
73.3%
ValueCountFrequency (%)
245
 
24.5%
programs=15568 10
 
1.0%
programs=6871 10
 
1.0%
county=New%20York%20City 2
 
0.2%
(Missing) 733
73.3%
ValueCountFrequency (%)
265
 
26.5%
result 2
 
0.2%
(Missing) 733
73.3%
Distinct335
Distinct (%)99.7%
Missing664
Missing (%)66.4%
Memory size195.0 KiB
2023-12-09T20:32:13.889169image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1690
Median length334
Mean length264.5654762
Min length24

Characters and Unicode

Total characters88894
Distinct characters984
Distinct categories17 ?
Distinct scripts8 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique334 ?
Unique (%)99.4%

Sample

1st rowSi vous vivez dans un logement social Mitchell-Lama ou Redevelopment Company, appelez le HPD au 212 863 8494 pour déposer une demande de SCRIE supervisé par le HPD.
2nd rowإذا كنت تعيش في شقة شركة صندوق تطوير الإسكان (Housing Development Fund Company (HDFC)) وشقة برنامج (Mitchell-Lama)، اتصل بـ HPDعلى الرقم 8494-863-212 لتقديم الطلب.
3rd rowযদি আপনি হাউজিং ডেভেলপমেন্ট ফান্ড কোম্পানির (HDFC) অ্যাপার্টমেন্টে থাকেন Mitchell-Lama অ্যাপার্টেমেন্টে থাকেন তাহলে আবেদন করার জন্য 212-863-8494 নম্বরে HPD কে ফোন করুন।
4th row如果您居住在房屋發展基金公司 (HDFC) 公寓或 Mitchell-Lama 公寓中,請致電 212-863-8494 聯絡 HPD 以進行申請。
5th rowSi vous habitez dans un appartement de Housing Development Fund Company (HDFC) (Société de fonds de développement immobilier) ou appartenant au lotissement Mitchell-Lama, appelez HPD au 212-863-8494 pour déposer votre demande.
ValueCountFrequency (%)
de 168
 
1.3%
a 82
 
0.7%
ou 79
 
0.6%
کے 77
 
0.6%
w 74
 
0.6%
nan 71
 
0.6%
70
 
0.6%
по 69
 
0.5%
pou 67
 
0.5%
nyc 58
 
0.5%
Other values (4932) 11780
93.5%
2023-12-09T20:32:14.463389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12234
 
13.8%
e 3903
 
4.4%
a 3439
 
3.9%
n 3297
 
3.7%
o 2782
 
3.1%
i 2203
 
2.5%
s 2087
 
2.3%
r 1980
 
2.2%
t 1909
 
2.1%
l 1696
 
1.9%
Other values (974) 53364
60.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 42026
47.3%
Other Letter 16806
 
18.9%
Space Separator 12261
 
13.8%
Decimal Number 7291
 
8.2%
Uppercase Letter 3458
 
3.9%
Other Punctuation 3040
 
3.4%
Dash Punctuation 1407
 
1.6%
Spacing Mark 1283
 
1.4%
Nonspacing Mark 623
 
0.7%
Open Punctuation 251
 
0.3%
Other values (7) 448
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 1250
 
7.4%
ل 897
 
5.3%
ر 655
 
3.9%
م 569
 
3.4%
494
 
2.9%
ی 488
 
2.9%
ت 449
 
2.7%
و 436
 
2.6%
ک 430
 
2.6%
414
 
2.5%
Other values (775) 10724
63.8%
Lowercase Letter
ValueCountFrequency (%)
e 3903
 
9.3%
a 3439
 
8.2%
n 3297
 
7.8%
o 2782
 
6.6%
i 2203
 
5.2%
s 2087
 
5.0%
r 1980
 
4.7%
t 1909
 
4.5%
l 1696
 
4.0%
p 1478
 
3.5%
Other values (70) 17252
41.1%
Uppercase Letter
ValueCountFrequency (%)
A 321
 
9.3%
Y 288
 
8.3%
C 283
 
8.2%
S 273
 
7.9%
P 253
 
7.3%
H 236
 
6.8%
N 203
 
5.9%
D 188
 
5.4%
T 170
 
4.9%
E 164
 
4.7%
Other values (37) 1079
31.2%
Other Punctuation
ValueCountFrequency (%)
. 857
28.2%
\ 589
19.4%
/ 464
15.3%
, 373
12.3%
: 347
11.4%
، 74
 
2.4%
۔ 68
 
2.2%
66
 
2.2%
62
 
2.0%
55
 
1.8%
Other values (9) 85
 
2.8%
Nonspacing Mark
ValueCountFrequency (%)
383
61.5%
99
 
15.9%
82
 
13.2%
ً 29
 
4.7%
12
 
1.9%
ُ 7
 
1.1%
ِ 3
 
0.5%
3
 
0.5%
ّ 2
 
0.3%
2
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 983
13.5%
1 882
12.1%
0 870
11.9%
8 829
11.4%
6 740
10.1%
3 733
10.1%
7 697
9.6%
5 577
7.9%
4 525
7.2%
9 455
6.2%
Spacing Mark
ValueCountFrequency (%)
464
36.2%
457
35.6%
ি 224
17.5%
73
 
5.7%
34
 
2.7%
27
 
2.1%
4
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 1395
99.1%
9
 
0.6%
2
 
0.1%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 244
97.2%
3
 
1.2%
2
 
0.8%
2
 
0.8%
Math Symbol
ValueCountFrequency (%)
+ 14
42.4%
| 10
30.3%
~ 8
24.2%
= 1
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 243
98.0%
3
 
1.2%
2
 
0.8%
Final Punctuation
ValueCountFrequency (%)
59
84.3%
» 6
 
8.6%
5
 
7.1%
Space Separator
ValueCountFrequency (%)
12234
99.8%
  27
 
0.2%
Initial Punctuation
ValueCountFrequency (%)
« 6
66.7%
3
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 73
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 12
100.0%
Modifier Letter
ValueCountFrequency (%)
ـ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 38524
43.3%
Common 24630
27.7%
Arabic 9751
 
11.0%
Cyrillic 6960
 
7.8%
Bengali 5251
 
5.9%
Hangul 2163
 
2.4%
Han 1573
 
1.8%
Inherited 42
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
55
 
3.5%
54
 
3.4%
46
 
2.9%
37
 
2.4%
35
 
2.2%
29
 
1.8%
26
 
1.7%
23
 
1.5%
22
 
1.4%
18
 
1.1%
Other values (403) 1228
78.1%
Hangul
ValueCountFrequency (%)
90
 
4.2%
62
 
2.9%
61
 
2.8%
61
 
2.8%
59
 
2.7%
55
 
2.5%
47
 
2.2%
45
 
2.1%
41
 
1.9%
37
 
1.7%
Other values (279) 1605
74.2%
Latin
ValueCountFrequency (%)
e 3903
 
10.1%
a 3439
 
8.9%
n 3297
 
8.6%
o 2782
 
7.2%
i 2203
 
5.7%
s 2087
 
5.4%
r 1980
 
5.1%
t 1909
 
5.0%
l 1696
 
4.4%
p 1478
 
3.8%
Other values (68) 13750
35.7%
Common
ValueCountFrequency (%)
12234
49.7%
- 1395
 
5.7%
2 983
 
4.0%
1 882
 
3.6%
0 870
 
3.5%
. 857
 
3.5%
8 829
 
3.4%
6 740
 
3.0%
3 733
 
3.0%
7 697
 
2.8%
Other values (43) 4410
 
17.9%
Cyrillic
ValueCountFrequency (%)
о 793
 
11.4%
е 670
 
9.6%
и 535
 
7.7%
а 472
 
6.8%
н 469
 
6.7%
т 447
 
6.4%
в 338
 
4.9%
р 332
 
4.8%
п 323
 
4.6%
с 306
 
4.4%
Other values (39) 2275
32.7%
Bengali
ValueCountFrequency (%)
494
 
9.4%
464
 
8.8%
457
 
8.7%
414
 
7.9%
383
 
7.3%
336
 
6.4%
ি 224
 
4.3%
223
 
4.2%
203
 
3.9%
200
 
3.8%
Other values (39) 1853
35.3%
Arabic
ValueCountFrequency (%)
ا 1250
 
12.8%
ل 897
 
9.2%
ر 655
 
6.7%
م 569
 
5.8%
ی 488
 
5.0%
ت 449
 
4.6%
و 436
 
4.5%
ک 430
 
4.4%
ن 413
 
4.2%
ب 295
 
3.0%
Other values (38) 3869
39.7%
Inherited
ValueCountFrequency (%)
ً 29
69.0%
ُ 7
 
16.7%
ِ 3
 
7.1%
ّ 2
 
4.8%
ٍ 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61807
69.5%
Arabic 9870
 
11.1%
Cyrillic 6960
 
7.8%
Bengali 5251
 
5.9%
Hangul 2163
 
2.4%
CJK 1573
 
1.8%
None 1127
 
1.3%
Punctuation 81
 
0.1%
Devanagari 62
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12234
19.8%
e 3903
 
6.3%
a 3439
 
5.6%
n 3297
 
5.3%
o 2782
 
4.5%
i 2203
 
3.6%
s 2087
 
3.4%
r 1980
 
3.2%
t 1909
 
3.1%
l 1696
 
2.7%
Other values (74) 26277
42.5%
Arabic
ValueCountFrequency (%)
ا 1250
 
12.7%
ل 897
 
9.1%
ر 655
 
6.6%
م 569
 
5.8%
ی 488
 
4.9%
ت 449
 
4.5%
و 436
 
4.4%
ک 430
 
4.4%
ن 413
 
4.2%
ب 295
 
3.0%
Other values (45) 3988
40.4%
Cyrillic
ValueCountFrequency (%)
о 793
 
11.4%
е 670
 
9.6%
и 535
 
7.7%
а 472
 
6.8%
н 469
 
6.7%
т 447
 
6.4%
в 338
 
4.9%
р 332
 
4.8%
п 323
 
4.6%
с 306
 
4.4%
Other values (39) 2275
32.7%
Bengali
ValueCountFrequency (%)
494
 
9.4%
464
 
8.8%
457
 
8.7%
414
 
7.9%
383
 
7.3%
336
 
6.4%
ি 224
 
4.3%
223
 
4.2%
203
 
3.9%
200
 
3.8%
Other values (39) 1853
35.3%
None
ValueCountFrequency (%)
é 169
15.0%
è 122
10.8%
ł 83
 
7.4%
ę 79
 
7.0%
ó 77
 
6.8%
ą 72
 
6.4%
ć 72
 
6.4%
66
 
5.9%
ż 63
 
5.6%
55
 
4.9%
Other values (27) 269
23.9%
Hangul
ValueCountFrequency (%)
90
 
4.2%
62
 
2.9%
61
 
2.8%
61
 
2.8%
59
 
2.7%
55
 
2.5%
47
 
2.2%
45
 
2.1%
41
 
1.9%
37
 
1.7%
Other values (279) 1605
74.2%
Devanagari
ValueCountFrequency (%)
62
100.0%
Punctuation
ValueCountFrequency (%)
59
72.8%
9
 
11.1%
5
 
6.2%
3
 
3.7%
2
 
2.5%
2
 
2.5%
1
 
1.2%
CJK
ValueCountFrequency (%)
55
 
3.5%
54
 
3.4%
46
 
2.9%
37
 
2.4%
35
 
2.2%
29
 
1.8%
26
 
1.7%
23
 
1.5%
22
 
1.4%
18
 
1.1%
Other values (403) 1228
78.1%
Distinct414
Distinct (%)100.0%
Missing586
Missing (%)58.6%
Memory size503.2 KiB
2023-12-09T20:32:14.941720image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6984
Median length565.5
Mean length633.7681159
Min length23

Characters and Unicode

Total characters262380
Distinct characters1203
Distinct categories20 ?
Distinct scripts8 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique414 ?
Unique (%)100.0%

Sample

1st rowPour demander à bénéficier du programme SCRIE, vous devrez prouver les éléments suivants :\nvotre âge ;\nvotre loyer (documents relatifs à la location antérieurs et actuels, comme les contrats de location, etc.) ;\nvos revenus ainsi que les revenus de tous les membres du foyer vivant dans votre appartement au cours de l’année calendaire précédant votre demande. Par exemple, une demande soumise en 2018 devrait inclure les renseignements sur les revenus du foyer pour 2017. Justificatifs de revenus possibles :\ndéclarations d’impôts ;\nallocations de Sécurité sociale ;\ndéclaration 1099/W2.
2nd rowللمطالبة بالإئتمان، ستكون بحاجة لإثبات ما يلي بالنسبة لجميع الأشخاص المدرجين في الإقرار الضريبي:\nالهوية والسن: مثل بطاقة هوية تحتوي على صورة أو رخصة قيادة أو بطاقة هوية سكان نيويورك (IDNYC) أو شهادة تجنس.\nحالة المواطنة أو الهجرة: مثل شهادة الميلاد أو جواز سفر أمريكي.\nدخلك المُكتسب وغير المُكتسب (إن وجد): مثل كشف الراتب الأخير أو كشف إعانات البطالة أو مراسلات التقاعد أو دخل الضمان التكميلي (SSI) أو تأمين الضمان الاجتماعي ضد العجز (SSDI).\nتكلفة رعاية الإعالة: مبلغ مالي تدفعه مقابل رعاية طفلك أو شخص مُعال.\nاسم مُقدم الرعاية والعنوان ورقم التعريف (رقم تعريف الموظف أو رقم الضمان الاجتماعي).
3rd rowক্রেডিট দাবি করতে আপনার ট্যাক্স রিটার্ন তালিকাভুক্ত সমস্ত লোকেদের জন্য নিম্নলিখিত প্রমাণ করতে হবে:\nআপনার পরিচয় এবং আপনার বয়স: যেমন সচিত্র পরিচয়পত্র, IDNYC, ড্রাইভার'স লাইসেন্স, পাসপোর্ট বা ন্যাচারালাইজেশন সার্টিফিকেট।\nনাগরিকত্ব বা অভিবাসন স্থিতি: যেমন বার্থ সার্টিফিকেট, মার্কিন পাসপোর্ট বা মিলিটারি সার্ভিসের রেকর্ড।\nআপনার অর্জিত এবং অনর্জিত আয় (যদি থাকে): যেমন একটি সাম্প্রতিক বেতন স্টাব বা বেকারত্বের সুবিধারবিবৃতি, পেনশনপত্র, সাপ্লিমেন্টাল সিকিউরিটি ইনকাম (SSI), বা সো্শ্যাল সিকিউরিটি ডিজেবিলিটি ইন্স্যরেন্স (SSDI)।\nনির্ভরশীল ব্যক্তির পরিচর্যার মূল্য: আপনার সন্তানের জন্য বা আপনার নির্ভরশীল ব্যক্তির পরিচর্যার জন্য অর্থ প্রদানের পরিমাণ।\nপ্রদানকারীর নাম, ঠিকানা এবং সনাক্তকরণ সংখ্যা (EIN বা সোশ্যাল সিকিউরিটি নম্বর)।
4th row若要申報抵免,您將需要為在您的納稅申報表上列出的所有人員提供以下證明:\n身份和年齡:如帶照片的身份證、駕駛執照、IDNYC、護照或入籍證明。\n公民身份或移民身份:例如您的出生證明或美國護照。\n您的勞動所得和非勞動所得(如果有):如最近的工資單或失業福利報表、養老金信函、補充保障收入 (Supplemental Security Income) 或社會安全殘疾保險 (Social Security Disability Insurance)。\n受贍養者照管費用:您為您的子女或受贍養者照管而支付的費用。\n提供者的姓名、地址和身份證號碼(EIN 或社會安全號碼)。
5th rowTo claim the credit, you will need to prove the following for all people listed on your tax return:\nIdentity and age: such as photo ID, driver’s license, IDNYC, passport, or naturalization certificate.\nCitizenship or immigration status: such as your birth certificate or a U.S. passport.\nYour earned and unearned income (if any): such as a recent pay stub or unemployment benefits statement, pension correspondence, Supplemental Security Income (SSI), or Social Security Disability Insurance (SSDI).\nDependent care cost: Amount of money you paid for your child or dependent's care.\nProvider’s name, address, and identification number (EIN or Social Security Number).
ValueCountFrequency (%)
de 945
 
2.7%
ou 309
 
0.9%
کی 237
 
0.7%
کے 206
 
0.6%
أو 174
 
0.5%
pou 161
 
0.5%
of 156
 
0.4%
w 148
 
0.4%
la 138
 
0.4%
o 137
 
0.4%
Other values (10321) 32791
92.6%
2023-12-09T20:32:15.605647image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34957
 
13.3%
e 12343
 
4.7%
n 11009
 
4.2%
a 9621
 
3.7%
o 9327
 
3.6%
i 8550
 
3.3%
t 7246
 
2.8%
s 6866
 
2.6%
r 6427
 
2.4%
d 5562
 
2.1%
Other values (1193) 150472
57.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 142342
54.3%
Other Letter 55301
 
21.1%
Space Separator 34994
 
13.3%
Other Punctuation 9444
 
3.6%
Uppercase Letter 7401
 
2.8%
Spacing Mark 4798
 
1.8%
Decimal Number 2475
 
0.9%
Nonspacing Mark 2160
 
0.8%
Open Punctuation 1107
 
0.4%
Close Punctuation 1103
 
0.4%
Other values (10) 1255
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 3972
 
7.2%
ل 2383
 
4.3%
1972
 
3.6%
ر 1742
 
3.2%
ی 1693
 
3.1%
م 1658
 
3.0%
و 1529
 
2.8%
ت 1494
 
2.7%
ن 1302
 
2.4%
1288
 
2.3%
Other values (980) 36268
65.6%
Lowercase Letter
ValueCountFrequency (%)
e 12343
 
8.7%
n 11009
 
7.7%
a 9621
 
6.8%
o 9327
 
6.6%
i 8550
 
6.0%
t 7246
 
5.1%
s 6866
 
4.8%
r 6427
 
4.5%
d 5562
 
3.9%
u 4874
 
3.4%
Other values (73) 60517
42.5%
Uppercase Letter
ValueCountFrequency (%)
S 1079
14.6%
I 646
 
8.7%
N 585
 
7.9%
D 556
 
7.5%
A 547
 
7.4%
P 519
 
7.0%
C 422
 
5.7%
Y 386
 
5.2%
E 294
 
4.0%
F 254
 
3.4%
Other values (42) 2113
28.6%
Other Punctuation
ValueCountFrequency (%)
\ 3013
31.9%
, 1590
16.8%
. 1488
15.8%
: 1102
 
11.7%
/ 1052
 
11.1%
، 234
 
2.5%
; 182
 
1.9%
' 132
 
1.4%
108
 
1.1%
107
 
1.1%
Other values (12) 436
 
4.6%
Nonspacing Mark
ValueCountFrequency (%)
1538
71.2%
296
 
13.7%
193
 
8.9%
ً 47
 
2.2%
37
 
1.7%
ُ 21
 
1.0%
18
 
0.8%
ّ 4
 
0.2%
3
 
0.1%
ِ 3
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 570
23.0%
2 553
22.3%
0 454
18.3%
9 218
 
8.8%
6 143
 
5.8%
4 122
 
4.9%
8 121
 
4.9%
7 120
 
4.8%
5 95
 
3.8%
3 79
 
3.2%
Spacing Mark
ValueCountFrequency (%)
1775
37.0%
ি 1429
29.8%
1227
25.6%
174
 
3.6%
97
 
2.0%
87
 
1.8%
7
 
0.1%
1
 
< 0.1%
1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1039
93.9%
49
 
4.4%
12
 
1.1%
[ 4
 
0.4%
3
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1039
94.2%
48
 
4.4%
12
 
1.1%
] 4
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 819
98.1%
15
 
1.8%
1
 
0.1%
Final Punctuation
ValueCountFrequency (%)
245
94.2%
8
 
3.1%
» 7
 
2.7%
Space Separator
ValueCountFrequency (%)
34957
99.9%
  37
 
0.1%
Initial Punctuation
ValueCountFrequency (%)
« 7
58.3%
5
41.7%
Math Symbol
ValueCountFrequency (%)
~ 7
53.8%
= 6
46.2%
Connector Punctuation
ValueCountFrequency (%)
_ 92
100.0%
Other Number
ValueCountFrequency (%)
24
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 14
100.0%
Modifier Letter
ValueCountFrequency (%)
ـ 3
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Format
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 123132
46.9%
Common 50255
19.2%
Arabic 30248
 
11.5%
Cyrillic 26611
 
10.1%
Bengali 19199
 
7.3%
Hangul 6823
 
2.6%
Han 6036
 
2.3%
Inherited 76
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
275
 
4.6%
191
 
3.2%
168
 
2.8%
150
 
2.5%
117
 
1.9%
103
 
1.7%
92
 
1.5%
80
 
1.3%
77
 
1.3%
72
 
1.2%
Other values (568) 4711
78.0%
Hangul
ValueCountFrequency (%)
276
 
4.0%
193
 
2.8%
192
 
2.8%
145
 
2.1%
130
 
1.9%
122
 
1.8%
119
 
1.7%
118
 
1.7%
103
 
1.5%
101
 
1.5%
Other values (316) 5324
78.0%
Latin
ValueCountFrequency (%)
e 12343
 
10.0%
n 11009
 
8.9%
a 9621
 
7.8%
o 9327
 
7.6%
i 8550
 
6.9%
t 7246
 
5.9%
s 6866
 
5.6%
r 6427
 
5.2%
d 5562
 
4.5%
u 4874
 
4.0%
Other values (69) 41307
33.5%
Common
ValueCountFrequency (%)
34957
69.6%
\ 3013
 
6.0%
, 1590
 
3.2%
. 1488
 
3.0%
: 1102
 
2.2%
/ 1052
 
2.1%
) 1039
 
2.1%
( 1039
 
2.1%
- 819
 
1.6%
1 570
 
1.1%
Other values (46) 3586
 
7.1%
Cyrillic
ValueCountFrequency (%)
о 2795
 
10.5%
е 2521
 
9.5%
и 2258
 
8.5%
а 2018
 
7.6%
н 1702
 
6.4%
т 1612
 
6.1%
д 1324
 
5.0%
с 1247
 
4.7%
р 1200
 
4.5%
в 1195
 
4.5%
Other values (46) 8739
32.8%
Bengali
ValueCountFrequency (%)
1972
 
10.3%
1775
 
9.2%
1538
 
8.0%
ি 1429
 
7.4%
1288
 
6.7%
1227
 
6.4%
877
 
4.6%
817
 
4.3%
741
 
3.9%
705
 
3.7%
Other values (44) 6830
35.6%
Arabic
ValueCountFrequency (%)
ا 3972
 
13.1%
ل 2383
 
7.9%
ر 1742
 
5.8%
ی 1693
 
5.6%
م 1658
 
5.5%
و 1529
 
5.1%
ت 1494
 
4.9%
ن 1302
 
4.3%
ک 1149
 
3.8%
ي 1073
 
3.5%
Other values (39) 12253
40.5%
Inherited
ValueCountFrequency (%)
ً 47
61.8%
ُ 21
27.6%
ّ 4
 
5.3%
ِ 3
 
3.9%
1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 168900
64.4%
Arabic 30567
 
11.6%
Cyrillic 26611
 
10.1%
Bengali 19199
 
7.3%
Hangul 6823
 
2.6%
CJK 6036
 
2.3%
None 3881
 
1.5%
Punctuation 284
 
0.1%
Devanagari 78
 
< 0.1%
Specials 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34957
20.7%
e 12343
 
7.3%
n 11009
 
6.5%
a 9621
 
5.7%
o 9327
 
5.5%
i 8550
 
5.1%
t 7246
 
4.3%
s 6866
 
4.1%
r 6427
 
3.8%
d 5562
 
3.3%
Other values (73) 56992
33.7%
Arabic
ValueCountFrequency (%)
ا 3972
 
13.0%
ل 2383
 
7.8%
ر 1742
 
5.7%
ی 1693
 
5.5%
م 1658
 
5.4%
و 1529
 
5.0%
ت 1494
 
4.9%
ن 1302
 
4.3%
ک 1149
 
3.8%
ي 1073
 
3.5%
Other values (46) 12572
41.1%
Cyrillic
ValueCountFrequency (%)
о 2795
 
10.5%
е 2521
 
9.5%
и 2258
 
8.5%
а 2018
 
7.6%
н 1702
 
6.4%
т 1612
 
6.1%
д 1324
 
5.0%
с 1247
 
4.7%
р 1200
 
4.5%
в 1195
 
4.5%
Other values (46) 8739
32.8%
Bengali
ValueCountFrequency (%)
1972
 
10.3%
1775
 
9.2%
1538
 
8.0%
ি 1429
 
7.4%
1288
 
6.7%
1227
 
6.4%
877
 
4.6%
817
 
4.3%
741
 
3.9%
705
 
3.7%
Other values (44) 6830
35.6%
None
ValueCountFrequency (%)
é 674
17.4%
è 487
12.5%
ó 373
 
9.6%
ą 302
 
7.8%
ł 251
 
6.5%
ś 209
 
5.4%
ż 205
 
5.3%
ę 176
 
4.5%
ć 134
 
3.5%
ò 119
 
3.1%
Other values (30) 951
24.5%
Hangul
ValueCountFrequency (%)
276
 
4.0%
193
 
2.8%
192
 
2.8%
145
 
2.1%
130
 
1.9%
122
 
1.8%
119
 
1.7%
118
 
1.7%
103
 
1.5%
101
 
1.5%
Other values (316) 5324
78.0%
CJK
ValueCountFrequency (%)
275
 
4.6%
191
 
3.2%
168
 
2.8%
150
 
2.5%
117
 
1.9%
103
 
1.7%
92
 
1.5%
80
 
1.3%
77
 
1.3%
72
 
1.2%
Other values (568) 4711
78.0%
Punctuation
ValueCountFrequency (%)
245
86.3%
15
 
5.3%
8
 
2.8%
6
 
2.1%
5
 
1.8%
3
 
1.1%
1
 
0.4%
1
 
0.4%
Devanagari
ValueCountFrequency (%)
78
100.0%
Specials
ValueCountFrequency (%)
1
100.0%

get_help_summary
Text

MISSING 

Distinct976
Distinct (%)99.7%
Missing21
Missing (%)2.1%
Memory size790.0 KiB
2023-12-09T20:32:15.988671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2288
Median length623
Mean length427.8365679
Min length21

Characters and Unicode

Total characters418852
Distinct characters1184
Distinct categories18 ?
Distinct scripts8 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique973 ?
Unique (%)99.4%

Sample

1st row\nConsultez le site internet du SCRIE (http://nyc.gov/rentfreeze) pour en savoir plus sur ce programme.\nConsultez la foire aux questions (https://www1.nyc.gov/site/rentfreeze/help/covid-19-frequently-asked-questions.page) sur le programme de gel des loyers (SCRIE et DRIE) et la COVID-19.\n (http://www1.nyc.gov/site/finance/about/contact-by-email/contact-scrie.page) Envoyez un courriel à la SCRIE (https://www1.nyc.gov/site/hpd/services-and-information/scrie-drie.page) pour obtenir davantage d’informations\nAppelez le 311 et demandez un spécialiste du SCRIE ou le 212 639 9675 si vous avez des problèmes d’auditionPour le SCRIE supervisé par le HPD :\nPour obtenir de plus amples informations, envoyez un courriel au HPD si vous souhaitez déposer une demande ou si vous vivez dans un logement social Mitchell-Lama ou Redevelopment Company.\nConsultez le site internet du HPD pour en savoir plus ou appeler le 212 863 8494 pour poser vos questions.
2nd rowتفضل بزيارة المواقع الإلكترونيةتعرف على المزيد حول الخصم الضريبي للأطفال والمعالين لسنة 2021 من IRS (https://www.irs.gov/newsroom/child-and-dependent-care-credit-faqs) .تعرف على المزيد حول خصومات الضرائب الأخرى من إدارة حماية المستهلكين والعمال في مدينة نيويورك (DCWP) (https://www1.nyc.gov/site/dca/consumers/get-tax-credit-information.page) .يمكن للمهاجرين (https://www1.nyc.gov/site/immigrants/help/legal-services/actionnyc.page) تحديد موعد مع برنامج ActionNYC لتلقي المساعدة.ابحث عن أحد مواقع VITA أو TCEاتصل بالرقم 9887-906-800 للعثور على أقرب مواقع لبرنامج المساعدة التطوعية لإعداد ضرائب الدخل (VITA) أو برنامج المشورة الضريبية لمقدمي الإقرارا الضريبي من كبار السن (TCE).اتصل بالرقم 311اطلب المساعدة في إعداد الضرائب.
3rd rowওয়েবসাইটগুলি দেখুনIRS (https://www.irs.gov/newsroom/child-and-dependent-care-credit-faqs) থেকে 2021 চাইল্ড অ্যান্ড ডিপেন্ডেন্ট কেয়ার ট্যাক্স ক্রেডিট সম্পর্কে আরও জানুন।NYC উপভোক্তা ও কর্মী-সুরক্ষা বিভাগ (Department of Consumer and Worker Protection, DCWP) (https://www1.nyc.gov/site/dca/consumers/get-tax-credit-information.page) থেকে অন্যান্য ট্যাক্স ক্রেডিট সম্পর্কে আরও জানুন।সহায়তা পাওয়ার জন্য অভিবাসীরা (https://www1.nyc.gov/site/immigrants/help/legal-services/actionnyc.page) ActionNYC -এর সঙ্গে একটি অ্যাপয়েন্টমেন্ট করতে পারেন।একটি VITA অথবা TCE কেন্দ্র খুঁজে নিননিকটতম স্বেচ্ছাসেবক আয়কর সহায়তা (Volunteer Income Tax Assistance, VITA) বা বয়স্কদের জন্য ট্যাক্স কাউন্সেলিং (Tax Counseling for the Elderly, TCE) খুঁজতে 800-906-9887 নম্বরে ফোন করুন।311 নম্বরে ফোন করুনকর প্রস্তুতির ক্ষেত্রে সহায়তার জন্য বলুন।
4th row造訪網站請從 IRS (https://www.irs.gov/newsroom/child-and-dependent-care-credit-faqs) 瞭解更多關於 2021 子女眷屬扶養抵減稅額的資訊。請從紐約市消費者與勞工保護局 (Department of Consumer and Worker Protection) (https://www1.nyc.gov/site/dca/consumers/get-tax-credit-information.page) 瞭解更多其他稅額抵減福利。移民可與 (https://www1.nyc.gov/site/immigrants/help/legal-services/actionnyc.page) ActionNYC 預約以獲取協助。尋找 VITA 或 TCE 據點請撥打 800-906-9887 尋找最近的所得稅協助志工 (Volunteer Income Tax Assistance, VITA) 或長者報稅諮詢顧問 (Tax Counseling for the Elderly, TCE)。撥打 311洽詢報稅協助事宜。
5th row\nSee the 2022 Child and Dependent Care Tax Credit FAQ (https://www.irs.gov/newsroom/child-and-dependent-care-credit-faqs) from the IRS.\nLearn more about tax credits (https://www1.nyc.gov/site/dca/consumers/get-tax-credit-information.page) you can claim.\nCall 800-906-9887 to find the nearest Volunteer Income Tax Assistance (VITA) or Tax Counseling for the Elderly (TCE).
ValueCountFrequency (%)
de 636
 
1.4%
354
 
0.8%
کے 341
 
0.8%
la 298
 
0.7%
le 255
 
0.6%
nyc 255
 
0.6%
pou 240
 
0.5%
the 210
 
0.5%
n 209
 
0.5%
a 202
 
0.5%
Other values (9509) 41658
93.3%
2023-12-09T20:32:16.537524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43550
 
10.4%
e 22089
 
5.3%
n 18054
 
4.3%
o 17005
 
4.1%
t 16675
 
4.0%
a 15735
 
3.8%
s 14230
 
3.4%
i 12647
 
3.0%
r 11367
 
2.7%
c 10522
 
2.5%
Other values (1174) 236978
56.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 238146
56.9%
Other Letter 58166
 
13.9%
Space Separator 43705
 
10.4%
Other Punctuation 25969
 
6.2%
Uppercase Letter 18961
 
4.5%
Decimal Number 14821
 
3.5%
Dash Punctuation 5952
 
1.4%
Spacing Mark 3662
 
0.9%
Open Punctuation 3201
 
0.8%
Close Punctuation 3175
 
0.8%
Other values (8) 3094
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 4263
 
7.3%
ل 3437
 
5.9%
م 2439
 
4.2%
ر 2314
 
4.0%
ی 1864
 
3.2%
و 1745
 
3.0%
1485
 
2.6%
ک 1427
 
2.5%
ن 1335
 
2.3%
ت 1273
 
2.2%
Other values (955) 36584
62.9%
Lowercase Letter
ValueCountFrequency (%)
e 22089
 
9.3%
n 18054
 
7.6%
o 17005
 
7.1%
t 16675
 
7.0%
a 15735
 
6.6%
s 14230
 
6.0%
i 12647
 
5.3%
r 11367
 
4.8%
c 10522
 
4.4%
l 9459
 
4.0%
Other values (70) 90363
37.9%
Uppercase Letter
ValueCountFrequency (%)
C 2575
13.6%
Y 1577
 
8.3%
E 1414
 
7.5%
S 1282
 
6.8%
A 1238
 
6.5%
N 1193
 
6.3%
D 1111
 
5.9%
P 863
 
4.6%
H 793
 
4.2%
T 716
 
3.8%
Other values (44) 6199
32.7%
Other Punctuation
ValueCountFrequency (%)
/ 9749
37.5%
. 8406
32.4%
: 2434
 
9.4%
\ 2258
 
8.7%
, 1002
 
3.9%
@ 714
 
2.7%
231
 
0.9%
۔ 224
 
0.9%
214
 
0.8%
" 172
 
0.7%
Other values (12) 565
 
2.2%
Nonspacing Mark
ValueCountFrequency (%)
1381
62.6%
421
 
19.1%
280
 
12.7%
ً 54
 
2.4%
22
 
1.0%
22
 
1.0%
ُ 9
 
0.4%
ّ 5
 
0.2%
ِ 4
 
0.2%
ٍ 3
 
0.1%
Other values (3) 6
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 3068
20.7%
0 1668
11.3%
8 1545
10.4%
2 1478
10.0%
3 1473
9.9%
6 1452
9.8%
7 1269
8.6%
4 1070
 
7.2%
9 992
 
6.7%
5 806
 
5.4%
Spacing Mark
ValueCountFrequency (%)
1341
36.6%
1328
36.3%
ি 603
16.5%
257
 
7.0%
74
 
2.0%
58
 
1.6%
1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3130
97.8%
26
 
0.8%
25
 
0.8%
16
 
0.5%
[ 3
 
0.1%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3108
97.9%
47
 
1.5%
16
 
0.5%
] 3
 
0.1%
1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 5926
99.6%
24
 
0.4%
1
 
< 0.1%
1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 135
55.8%
+ 88
36.4%
| 10
 
4.1%
~ 9
 
3.7%
Space Separator
ValueCountFrequency (%)
43550
99.6%
  154
 
0.4%
  1
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
212
76.5%
42
 
15.2%
» 23
 
8.3%
Initial Punctuation
ValueCountFrequency (%)
« 23
54.8%
18
42.9%
1
 
2.4%
Format
ValueCountFrequency (%)
7
77.8%
2
 
22.2%
Connector Punctuation
ValueCountFrequency (%)
_ 293
100.0%
Other Number
ValueCountFrequency (%)
12
100.0%
Modifier Letter
ValueCountFrequency (%)
ـ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 234125
55.9%
Common 97474
23.3%
Arabic 34398
 
8.2%
Cyrillic 22982
 
5.5%
Bengali 16311
 
3.9%
Hangul 8050
 
1.9%
Han 5434
 
1.3%
Inherited 78
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
140
 
2.6%
138
 
2.5%
124
 
2.3%
119
 
2.2%
116
 
2.1%
115
 
2.1%
111
 
2.0%
105
 
1.9%
105
 
1.9%
103
 
1.9%
Other values (525) 4258
78.4%
Hangul
ValueCountFrequency (%)
246
 
3.1%
245
 
3.0%
229
 
2.8%
225
 
2.8%
211
 
2.6%
195
 
2.4%
194
 
2.4%
187
 
2.3%
186
 
2.3%
180
 
2.2%
Other values (332) 5952
73.9%
Latin
ValueCountFrequency (%)
e 22089
 
9.4%
n 18054
 
7.7%
o 17005
 
7.3%
t 16675
 
7.1%
a 15735
 
6.7%
s 14230
 
6.1%
i 12647
 
5.4%
r 11367
 
4.9%
c 10522
 
4.5%
l 9459
 
4.0%
Other values (68) 86342
36.9%
Common
ValueCountFrequency (%)
43550
44.7%
/ 9749
 
10.0%
. 8406
 
8.6%
- 5926
 
6.1%
( 3130
 
3.2%
) 3108
 
3.2%
1 3068
 
3.1%
: 2434
 
2.5%
\ 2258
 
2.3%
0 1668
 
1.7%
Other values (53) 14177
 
14.5%
Cyrillic
ValueCountFrequency (%)
о 2811
 
12.2%
е 1876
 
8.2%
и 1720
 
7.5%
т 1550
 
6.7%
а 1537
 
6.7%
н 1424
 
6.2%
р 1123
 
4.9%
с 1088
 
4.7%
п 1013
 
4.4%
л 919
 
4.0%
Other values (46) 7921
34.5%
Bengali
ValueCountFrequency (%)
1485
 
9.1%
1381
 
8.5%
1341
 
8.2%
1328
 
8.1%
1205
 
7.4%
899
 
5.5%
804
 
4.9%
687
 
4.2%
ি 603
 
3.7%
580
 
3.6%
Other values (42) 5998
36.8%
Arabic
ValueCountFrequency (%)
ا 4263
 
12.4%
ل 3437
 
10.0%
م 2439
 
7.1%
ر 2314
 
6.7%
ی 1864
 
5.4%
و 1745
 
5.1%
ک 1427
 
4.1%
ن 1335
 
3.9%
ت 1273
 
3.7%
ي 1142
 
3.3%
Other values (41) 13159
38.3%
Inherited
ValueCountFrequency (%)
ً 54
69.2%
ُ 9
 
11.5%
ّ 5
 
6.4%
ِ 4
 
5.1%
ٍ 3
 
3.8%
َ 2
 
2.6%
ٰ 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 327157
78.1%
Arabic 34571
 
8.3%
Cyrillic 22982
 
5.5%
Bengali 16311
 
3.9%
Hangul 8050
 
1.9%
CJK 5434
 
1.3%
None 3798
 
0.9%
Punctuation 335
 
0.1%
Devanagari 214
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43550
 
13.3%
e 22089
 
6.8%
n 18054
 
5.5%
o 17005
 
5.2%
t 16675
 
5.1%
a 15735
 
4.8%
s 14230
 
4.3%
i 12647
 
3.9%
r 11367
 
3.5%
c 10522
 
3.2%
Other values (76) 145283
44.4%
Arabic
ValueCountFrequency (%)
ا 4263
 
12.3%
ل 3437
 
9.9%
م 2439
 
7.1%
ر 2314
 
6.7%
ی 1864
 
5.4%
و 1745
 
5.0%
ک 1427
 
4.1%
ن 1335
 
3.9%
ت 1273
 
3.7%
ي 1142
 
3.3%
Other values (51) 13332
38.6%
Cyrillic
ValueCountFrequency (%)
о 2811
 
12.2%
е 1876
 
8.2%
и 1720
 
7.5%
т 1550
 
6.7%
а 1537
 
6.7%
н 1424
 
6.2%
р 1123
 
4.9%
с 1088
 
4.7%
п 1013
 
4.4%
л 919
 
4.0%
Other values (46) 7921
34.5%
Bengali
ValueCountFrequency (%)
1485
 
9.1%
1381
 
8.5%
1341
 
8.2%
1328
 
8.1%
1205
 
7.4%
899
 
5.5%
804
 
4.9%
687
 
4.2%
ি 603
 
3.7%
580
 
3.6%
Other values (42) 5998
36.8%
None
ValueCountFrequency (%)
è 459
12.1%
ę 385
 
10.1%
é 371
 
9.8%
ó 345
 
9.1%
231
 
6.1%
ą 210
 
5.5%
ć 207
 
5.5%
ò 166
 
4.4%
  154
 
4.1%
ł 147
 
3.9%
Other values (30) 1123
29.6%
Hangul
ValueCountFrequency (%)
246
 
3.1%
245
 
3.0%
229
 
2.8%
225
 
2.8%
211
 
2.6%
195
 
2.4%
194
 
2.4%
187
 
2.3%
186
 
2.3%
180
 
2.2%
Other values (332) 5952
73.9%
Devanagari
ValueCountFrequency (%)
214
100.0%
Punctuation
ValueCountFrequency (%)
212
63.3%
42
 
12.5%
25
 
7.5%
24
 
7.2%
18
 
5.4%
7
 
2.1%
2
 
0.6%
2
 
0.6%
1
 
0.3%
1
 
0.3%
CJK
ValueCountFrequency (%)
140
 
2.6%
138
 
2.5%
124
 
2.3%
119
 
2.2%
116
 
2.1%
115
 
2.1%
111
 
2.0%
105
 
1.9%
105
 
1.9%
103
 
1.9%
Other values (525) 4258
78.4%

get_help_in_person
Text

MISSING 

Distinct190
Distinct (%)97.9%
Missing806
Missing (%)80.6%
Memory size94.0 KiB
2023-12-09T20:32:16.865620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length465
Median length211
Mean length171.3195876
Min length18

Characters and Unicode

Total characters33236
Distinct characters516
Distinct categories16 ?
Distinct scripts8 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)96.9%

Sample

1st rowقم بزيارة مركز برنامج المساعدات الغذائية التكميلية (SNAP) أو المؤسسة المجتمعيةقم بزيارة أحد مراكز SNAP (https://www1.nyc.gov/site/hra/locations/snap-locations.page) أو المنظمة المجتمعية (https://www1.nyc.gov/site/hra/partners/find-a-partner-organization.page) (CBO) المحلية للحصول على المساعدة بشكل شخصي.
2nd rowকোনো SNAP সেন্টারে বা কমিউনিটি সংগঠনে যানসশরীরে সাহায্য পেতে কোনো SNAP কেন্দ্র (https://www1.nyc.gov/site/hra/locations/snap-locations.page) বা আপনার স্থানীয় কমিউনিটি-ভিত্তিক সংস্থা (https://www1.nyc.gov/site/hra/partners/find-a-partner-organization.page) (CBO) তে যান।
3rd row前往 SNAP 中心或社區組織親自前往 SNAP 中心 (https://www1.nyc.gov/site/hra/locations/snap-locations.page) 或當地社區型組織 (https://www1.nyc.gov/site/hra/partners/find-a-partner-organization.page) (Community-Based Organization, CBO) 尋求協助。
4th rowVisit a SNAP Center or Community OrganizationVisit a SNAP center (https://www1.nyc.gov/site/hra/locations/snap-locations.page) or your local Community-Based Organization (https://www1.nyc.gov/site/hra/partners/find-a-partner-organization.page) (CBO) to get help in person.
5th rowPrésentez-vous à un Centre SNAP ou une organisation communautaireRendez-vous dans un centre SNAP (https://www1.nyc.gov/site/hra/locations/snap-locations.page) ou dans votre organisme communautaire local (https://www1.nyc.gov/site/hra/partners/find-a-partner-organization.page) pour obtenir de l’aide en personne.
ValueCountFrequency (%)
de 79
 
2.1%
42
 
1.1%
un 40
 
1.1%
https://www.schools.nyc.gov/enrollment/enrollment-help/family-welcome-centers 36
 
1.0%
a 36
 
1.0%
en 35
 
0.9%
la 28
 
0.8%
کے 26
 
0.7%
ny 24
 
0.6%
centro 23
 
0.6%
Other values (1264) 3348
90.1%
2023-12-09T20:32:17.415456image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3515
 
10.6%
e 1882
 
5.7%
o 1508
 
4.5%
n 1478
 
4.4%
t 1438
 
4.3%
a 1363
 
4.1%
i 1130
 
3.4%
s 1129
 
3.4%
l 929
 
2.8%
c 910
 
2.7%
Other values (506) 17954
54.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19631
59.1%
Other Letter 4866
 
14.6%
Space Separator 3523
 
10.6%
Other Punctuation 1997
 
6.0%
Uppercase Letter 1317
 
4.0%
Decimal Number 503
 
1.5%
Spacing Mark 369
 
1.1%
Dash Punctuation 285
 
0.9%
Open Punctuation 247
 
0.7%
Close Punctuation 247
 
0.7%
Other values (6) 251
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 316
 
6.5%
ل 256
 
5.3%
ر 233
 
4.8%
م 211
 
4.3%
ی 166
 
3.4%
122
 
2.5%
108
 
2.2%
ب 104
 
2.1%
ت 104
 
2.1%
و 101
 
2.1%
Other values (343) 3145
64.6%
Lowercase Letter
ValueCountFrequency (%)
e 1882
 
9.6%
o 1508
 
7.7%
n 1478
 
7.5%
t 1438
 
7.3%
a 1363
 
6.9%
i 1130
 
5.8%
s 1129
 
5.8%
l 929
 
4.7%
c 910
 
4.6%
r 904
 
4.6%
Other values (64) 6960
35.5%
Uppercase Letter
ValueCountFrequency (%)
C 160
12.1%
S 138
 
10.5%
Y 96
 
7.3%
A 95
 
7.2%
F 85
 
6.5%
N 79
 
6.0%
V 78
 
5.9%
E 73
 
5.5%
O 63
 
4.8%
W 63
 
4.8%
Other values (25) 387
29.4%
Other Punctuation
ValueCountFrequency (%)
/ 902
45.2%
. 623
31.2%
: 233
 
11.7%
, 104
 
5.2%
% 33
 
1.7%
۔ 21
 
1.1%
17
 
0.9%
17
 
0.9%
' 14
 
0.7%
? 14
 
0.7%
Other values (5) 19
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 161
32.0%
0 102
20.3%
3 74
14.7%
8 48
 
9.5%
5 33
 
6.6%
6 26
 
5.2%
7 24
 
4.8%
4 21
 
4.2%
2 14
 
2.8%
Nonspacing Mark
ValueCountFrequency (%)
111
66.1%
17
 
10.1%
ً 16
 
9.5%
15
 
8.9%
3
 
1.8%
ِ 2
 
1.2%
2
 
1.2%
ّ 2
 
1.2%
Spacing Mark
ValueCountFrequency (%)
141
38.2%
115
31.2%
ি 69
18.7%
26
 
7.0%
15
 
4.1%
3
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 283
99.3%
1
 
0.4%
1
 
0.4%
Math Symbol
ValueCountFrequency (%)
= 17
54.8%
+ 12
38.7%
~ 2
 
6.5%
Space Separator
ValueCountFrequency (%)
3515
99.8%
  8
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 244
98.8%
3
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 244
98.8%
3
 
1.2%
Connector Punctuation
ValueCountFrequency (%)
_ 26
100.0%
Final Punctuation
ValueCountFrequency (%)
23
100.0%
Other Number
ValueCountFrequency (%)
2
100.0%
Format
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 19093
57.4%
Common 6862
 
20.6%
Arabic 2925
 
8.8%
Cyrillic 1855
 
5.6%
Bengali 1381
 
4.2%
Hangul 640
 
1.9%
Han 460
 
1.4%
Inherited 20
 
0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
17
 
3.7%
16
 
3.5%
15
 
3.3%
13
 
2.8%
12
 
2.6%
12
 
2.6%
12
 
2.6%
11
 
2.4%
11
 
2.4%
10
 
2.2%
Other values (130) 331
72.0%
Hangul
ValueCountFrequency (%)
36
 
5.6%
34
 
5.3%
28
 
4.4%
23
 
3.6%
20
 
3.1%
19
 
3.0%
18
 
2.8%
17
 
2.7%
16
 
2.5%
16
 
2.5%
Other values (122) 413
64.5%
Latin
ValueCountFrequency (%)
e 1882
 
9.9%
o 1508
 
7.9%
n 1478
 
7.7%
t 1438
 
7.5%
a 1363
 
7.1%
i 1130
 
5.9%
s 1129
 
5.9%
l 929
 
4.9%
c 910
 
4.8%
r 904
 
4.7%
Other values (59) 6422
33.6%
Arabic
ValueCountFrequency (%)
ا 316
 
10.8%
ل 256
 
8.8%
ر 233
 
8.0%
م 211
 
7.2%
ی 166
 
5.7%
ب 104
 
3.6%
ت 104
 
3.6%
و 101
 
3.5%
د 98
 
3.4%
ک 97
 
3.3%
Other values (38) 1239
42.4%
Bengali
ValueCountFrequency (%)
141
 
10.2%
122
 
8.8%
115
 
8.3%
111
 
8.0%
108
 
7.8%
80
 
5.8%
80
 
5.8%
76
 
5.5%
ি 69
 
5.0%
48
 
3.5%
Other values (36) 431
31.2%
Cyrillic
ValueCountFrequency (%)
о 200
 
10.8%
е 191
 
10.3%
и 156
 
8.4%
т 147
 
7.9%
н 115
 
6.2%
а 115
 
6.2%
с 95
 
5.1%
р 92
 
5.0%
п 73
 
3.9%
м 66
 
3.6%
Other values (30) 605
32.6%
Common
ValueCountFrequency (%)
3515
51.2%
/ 902
 
13.1%
. 623
 
9.1%
- 283
 
4.1%
( 244
 
3.6%
) 244
 
3.6%
: 233
 
3.4%
1 161
 
2.3%
, 104
 
1.5%
0 102
 
1.5%
Other values (28) 451
 
6.6%
Inherited
ValueCountFrequency (%)
ً 16
80.0%
ِ 2
 
10.0%
ّ 2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25627
77.1%
Arabic 2949
 
8.9%
Cyrillic 1855
 
5.6%
Bengali 1381
 
4.2%
Hangul 640
 
1.9%
CJK 460
 
1.4%
None 281
 
0.8%
Punctuation 26
 
0.1%
Devanagari 17
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3515
 
13.7%
e 1882
 
7.3%
o 1508
 
5.9%
n 1478
 
5.8%
t 1438
 
5.6%
a 1363
 
5.3%
i 1130
 
4.4%
s 1129
 
4.4%
l 929
 
3.6%
c 910
 
3.6%
Other values (66) 10345
40.4%
Arabic
ValueCountFrequency (%)
ا 316
 
10.7%
ل 256
 
8.7%
ر 233
 
7.9%
م 211
 
7.2%
ی 166
 
5.6%
ب 104
 
3.5%
ت 104
 
3.5%
و 101
 
3.4%
د 98
 
3.3%
ک 97
 
3.3%
Other values (42) 1263
42.8%
Cyrillic
ValueCountFrequency (%)
о 200
 
10.8%
е 191
 
10.3%
и 156
 
8.4%
т 147
 
7.9%
н 115
 
6.2%
а 115
 
6.2%
с 95
 
5.1%
р 92
 
5.0%
п 73
 
3.9%
м 66
 
3.6%
Other values (30) 605
32.6%
Bengali
ValueCountFrequency (%)
141
 
10.2%
122
 
8.8%
115
 
8.3%
111
 
8.0%
108
 
7.8%
80
 
5.8%
80
 
5.8%
76
 
5.5%
ি 69
 
5.0%
48
 
3.5%
Other values (36) 431
31.2%
None
ValueCountFrequency (%)
è 47
16.7%
ź 24
 
8.5%
é 22
 
7.8%
ś 19
 
6.8%
ó 18
 
6.4%
ę 18
 
6.4%
17
 
6.0%
ą 16
 
5.7%
ł 15
 
5.3%
ć 15
 
5.3%
Other values (15) 70
24.9%
Hangul
ValueCountFrequency (%)
36
 
5.6%
34
 
5.3%
28
 
4.4%
23
 
3.6%
20
 
3.1%
19
 
3.0%
18
 
2.8%
17
 
2.7%
16
 
2.5%
16
 
2.5%
Other values (122) 413
64.5%
Punctuation
ValueCountFrequency (%)
23
88.5%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Devanagari
ValueCountFrequency (%)
17
100.0%
CJK
ValueCountFrequency (%)
17
 
3.7%
16
 
3.5%
15
 
3.3%
13
 
2.8%
12
 
2.6%
12
 
2.6%
12
 
2.6%
11
 
2.4%
11
 
2.4%
10
 
2.2%
Other values (130) 331
72.0%

get_help_online
Text

MISSING 

Distinct789
Distinct (%)99.9%
Missing210
Missing (%)21.0%
Memory size344.1 KiB
2023-12-09T20:32:17.666468image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1666
Median length397
Mean length215.2518987
Min length44

Characters and Unicode

Total characters170049
Distinct characters830
Distinct categories18 ?
Distinct scripts8 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique788 ?
Unique (%)99.7%

Sample

1st rowRendez-vous sur les sites internetPour en savoir plus, consultez le site internet du programme de gel des loyers de la ville de New York (http://www1.nyc.gov/site/rentfreeze/index.page) .Consultez la foire aux questions (https://www1.nyc.gov/site/rentfreeze/help/covid-19-frequently-asked-questions.page) sur le programme de gel des loyers pendant l’épidémie de COVID-19.Si vous vivez dans un logement social du HPD, consultez le site internet du HPD (https://www1.nyc.gov/site/hpd/services-and-information/scrie-drie.page) pour en savoir plus sur le SCRIE supervisé par le HPD.
2nd rowتفضل بزيارة المواقع الإلكترونيةتعرف على المزيد حول الخصم الضريبي للأطفال والمعالين لسنة 2021 من IRS (https://www.irs.gov/newsroom/child-and-dependent-care-credit-faqs) .تعرف على المزيد حول خصومات الضرائب الأخرى من إدارة حماية المستهلكين والعمال في مدينة نيويورك (DCWP) (https://www1.nyc.gov/site/dca/consumers/get-tax-credit-information.page) .يمكن للمهاجرين (https://www1.nyc.gov/site/immigrants/help/legal-services/actionnyc.page) تحديد موعد مع برنامج ActionNYC لتلقي المساعدة.
3rd rowওয়েবসাইটগুলি দেখুনIRS (https://www.irs.gov/newsroom/child-and-dependent-care-credit-faqs) থেকে 2021 চাইল্ড অ্যান্ড ডিপেন্ডেন্ট কেয়ার ট্যাক্স ক্রেডিট সম্পর্কে আরও জানুন।NYC উপভোক্তা ও কর্মী-সুরক্ষা বিভাগ (Department of Consumer and Worker Protection, DCWP) (https://www1.nyc.gov/site/dca/consumers/get-tax-credit-information.page) থেকে অন্যান্য ট্যাক্স ক্রেডিট সম্পর্কে আরও জানুন।সহায়তা পাওয়ার জন্য অভিবাসীরা (https://www1.nyc.gov/site/immigrants/help/legal-services/actionnyc.page) ActionNYC -এর সঙ্গে একটি অ্যাপয়েন্টমেন্ট করতে পারেন।
4th row造訪網站請從 IRS (https://www.irs.gov/newsroom/child-and-dependent-care-credit-faqs) 瞭解更多關於 2021 子女眷屬扶養抵減稅額的資訊。請從紐約市消費者與勞工保護局 (Department of Consumer and Worker Protection) (https://www1.nyc.gov/site/dca/consumers/get-tax-credit-information.page) 瞭解更多其他稅額抵減福利。移民可與 (https://www1.nyc.gov/site/immigrants/help/legal-services/actionnyc.page) ActionNYC 預約以獲取協助。
5th rowMore informationSee the 2022 Child and Dependent Care Tax Credit FAQ (https://www.irs.gov/newsroom/child-and-dependent-care-credit-faqs) from the IRS.Learn more about tax credits (https://www1.nyc.gov/site/dca/consumers/get-tax-credit-information.page) you can claim.
ValueCountFrequency (%)
de 273
 
1.7%
205
 
1.2%
the 159
 
1.0%
el 149
 
0.9%
کے 134
 
0.8%
nyc 134
 
0.8%
le 132
 
0.8%
sitio 128
 
0.8%
la 124
 
0.7%
site 113
 
0.7%
Other values (3558) 14991
90.6%
2023-12-09T20:32:18.117440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15722
 
9.2%
e 10599
 
6.2%
t 8270
 
4.9%
s 7016
 
4.1%
o 6864
 
4.0%
n 6778
 
4.0%
i 6676
 
3.9%
a 6509
 
3.8%
/ 5851
 
3.4%
r 5373
 
3.2%
Other values (820) 90391
53.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 104023
61.2%
Other Letter 22731
 
13.4%
Space Separator 15769
 
9.3%
Other Punctuation 11493
 
6.8%
Uppercase Letter 7221
 
4.2%
Dash Punctuation 1990
 
1.2%
Decimal Number 1561
 
0.9%
Spacing Mark 1444
 
0.8%
Open Punctuation 1310
 
0.8%
Close Punctuation 1306
 
0.8%
Other values (8) 1201
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 1652
 
7.3%
ل 1319
 
5.8%
م 1067
 
4.7%
ر 862
 
3.8%
ی 773
 
3.4%
و 761
 
3.3%
ن 572
 
2.5%
ي 554
 
2.4%
ک 485
 
2.1%
ت 465
 
2.0%
Other values (625) 14221
62.6%
Lowercase Letter
ValueCountFrequency (%)
e 10599
 
10.2%
t 8270
 
8.0%
s 7016
 
6.7%
o 6864
 
6.6%
n 6778
 
6.5%
i 6676
 
6.4%
a 6509
 
6.3%
r 5373
 
5.2%
c 4279
 
4.1%
p 3889
 
3.7%
Other values (68) 37770
36.3%
Uppercase Letter
ValueCountFrequency (%)
C 903
12.5%
Y 636
 
8.8%
D 587
 
8.1%
N 479
 
6.6%
V 466
 
6.5%
A 445
 
6.2%
P 411
 
5.7%
S 410
 
5.7%
E 396
 
5.5%
H 329
 
4.6%
Other values (34) 2159
29.9%
Other Punctuation
ValueCountFrequency (%)
/ 5851
50.9%
. 3789
33.0%
: 1118
 
9.7%
, 184
 
1.6%
92
 
0.8%
۔ 88
 
0.8%
86
 
0.7%
% 85
 
0.7%
& 66
 
0.6%
\ 47
 
0.4%
Other values (8) 87
 
0.8%
Nonspacing Mark
ValueCountFrequency (%)
438
52.1%
188
22.4%
178
21.2%
9
 
1.1%
4
 
0.5%
ّ 4
 
0.5%
ً 4
 
0.5%
ُ 4
 
0.5%
َ 3
 
0.4%
ٍ 3
 
0.4%
Other values (3) 5
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 766
49.1%
2 206
 
13.2%
9 126
 
8.1%
0 95
 
6.1%
3 76
 
4.9%
7 70
 
4.5%
8 69
 
4.4%
4 64
 
4.1%
6 55
 
3.5%
5 34
 
2.2%
Spacing Mark
ValueCountFrequency (%)
561
38.9%
524
36.3%
ি 265
18.4%
58
 
4.0%
21
 
1.5%
15
 
1.0%
Math Symbol
ValueCountFrequency (%)
= 59
59.6%
+ 27
27.3%
| 10
 
10.1%
~ 2
 
2.0%
> 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 1302
99.4%
5
 
0.4%
2
 
0.2%
1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1302
99.7%
2
 
0.2%
1
 
0.1%
1
 
0.1%
Final Punctuation
ValueCountFrequency (%)
69
90.8%
5
 
6.6%
» 2
 
2.6%
Space Separator
ValueCountFrequency (%)
15722
99.7%
  47
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 1989
99.9%
1
 
0.1%
Format
ValueCountFrequency (%)
 2
66.7%
1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 174
100.0%
Modifier Letter
ValueCountFrequency (%)
ـ 4
100.0%
Other Number
ValueCountFrequency (%)
3
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 103182
60.7%
Common 33699
 
19.8%
Arabic 13847
 
8.1%
Cyrillic 8062
 
4.7%
Bengali 6215
 
3.7%
Hangul 2969
 
1.7%
Han 2055
 
1.2%
Inherited 20
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
117
 
5.7%
116
 
5.6%
115
 
5.6%
114
 
5.5%
73
 
3.6%
70
 
3.4%
67
 
3.3%
60
 
2.9%
53
 
2.6%
47
 
2.3%
Other values (308) 1223
59.5%
Hangul
ValueCountFrequency (%)
137
 
4.6%
131
 
4.4%
117
 
3.9%
116
 
3.9%
98
 
3.3%
94
 
3.2%
92
 
3.1%
91
 
3.1%
88
 
3.0%
87
 
2.9%
Other values (221) 1918
64.6%
Latin
ValueCountFrequency (%)
e 10599
 
10.3%
t 8270
 
8.0%
s 7016
 
6.8%
o 6864
 
6.7%
n 6778
 
6.6%
i 6676
 
6.5%
a 6509
 
6.3%
r 5373
 
5.2%
c 4279
 
4.1%
p 3889
 
3.8%
Other values (65) 36929
35.8%
Common
ValueCountFrequency (%)
15722
46.7%
/ 5851
 
17.4%
. 3789
 
11.2%
- 1989
 
5.9%
( 1302
 
3.9%
) 1302
 
3.9%
: 1118
 
3.3%
1 766
 
2.3%
2 206
 
0.6%
, 184
 
0.5%
Other values (42) 1470
 
4.4%
Arabic
ValueCountFrequency (%)
ا 1652
 
11.9%
ل 1319
 
9.5%
م 1067
 
7.7%
ر 862
 
6.2%
ی 773
 
5.6%
و 761
 
5.5%
ن 572
 
4.1%
ي 554
 
4.0%
ک 485
 
3.5%
ت 465
 
3.4%
Other values (40) 5337
38.5%
Bengali
ValueCountFrequency (%)
561
 
9.0%
524
 
8.4%
438
 
7.0%
427
 
6.9%
384
 
6.2%
355
 
5.7%
303
 
4.9%
ি 265
 
4.3%
241
 
3.9%
235
 
3.8%
Other values (40) 2482
39.9%
Cyrillic
ValueCountFrequency (%)
о 907
 
11.3%
е 735
 
9.1%
т 674
 
8.4%
а 644
 
8.0%
и 548
 
6.8%
н 436
 
5.4%
с 415
 
5.1%
р 370
 
4.6%
м 307
 
3.8%
п 278
 
3.4%
Other values (37) 2748
34.1%
Inherited
ValueCountFrequency (%)
ّ 4
20.0%
ً 4
20.0%
ُ 4
20.0%
َ 3
15.0%
ٍ 3
15.0%
ِ 1
 
5.0%
ٰ 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 135272
79.5%
Arabic 13879
 
8.2%
Cyrillic 8062
 
4.7%
Bengali 6215
 
3.7%
Hangul 2969
 
1.7%
CJK 2055
 
1.2%
None 1430
 
0.8%
Devanagari 86
 
0.1%
Punctuation 81
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15722
 
11.6%
e 10599
 
7.8%
t 8270
 
6.1%
s 7016
 
5.2%
o 6864
 
5.1%
n 6778
 
5.0%
i 6676
 
4.9%
a 6509
 
4.8%
/ 5851
 
4.3%
r 5373
 
4.0%
Other values (73) 55614
41.1%
Arabic
ValueCountFrequency (%)
ا 1652
 
11.9%
ل 1319
 
9.5%
م 1067
 
7.7%
ر 862
 
6.2%
ی 773
 
5.6%
و 761
 
5.5%
ن 572
 
4.1%
ي 554
 
4.0%
ک 485
 
3.5%
ت 465
 
3.4%
Other values (50) 5369
38.7%
Cyrillic
ValueCountFrequency (%)
о 907
 
11.3%
е 735
 
9.1%
т 674
 
8.4%
а 644
 
8.0%
и 548
 
6.8%
н 436
 
5.4%
с 415
 
5.1%
р 370
 
4.6%
м 307
 
3.8%
п 278
 
3.4%
Other values (37) 2748
34.1%
Bengali
ValueCountFrequency (%)
561
 
9.0%
524
 
8.4%
438
 
7.0%
427
 
6.9%
384
 
6.2%
355
 
5.7%
303
 
4.9%
ি 265
 
4.3%
241
 
3.9%
235
 
3.8%
Other values (40) 2482
39.9%
None
ValueCountFrequency (%)
è 225
15.7%
ę 206
14.4%
ó 151
10.6%
é 113
7.9%
á 94
 
6.6%
92
 
6.4%
ć 82
 
5.7%
ź 80
 
5.6%
ą 79
 
5.5%
ò 60
 
4.2%
Other values (25) 248
17.3%
Hangul
ValueCountFrequency (%)
137
 
4.6%
131
 
4.4%
117
 
3.9%
116
 
3.9%
98
 
3.3%
94
 
3.2%
92
 
3.1%
91
 
3.1%
88
 
3.0%
87
 
2.9%
Other values (221) 1918
64.6%
CJK
ValueCountFrequency (%)
117
 
5.7%
116
 
5.6%
115
 
5.6%
114
 
5.5%
73
 
3.6%
70
 
3.4%
67
 
3.3%
60
 
2.9%
53
 
2.6%
47
 
2.3%
Other values (308) 1223
59.5%
Devanagari
ValueCountFrequency (%)
86
100.0%
Punctuation
ValueCountFrequency (%)
69
85.2%
5
 
6.2%
5
 
6.2%
1
 
1.2%
1
 
1.2%

get_help_by_email
Text

MISSING 

Distinct292
Distinct (%)99.7%
Missing707
Missing (%)70.7%
Memory size132.1 KiB
2023-12-09T20:32:18.327255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1302
Median length242
Mean length186.2627986
Min length57

Characters and Unicode

Total characters54575
Distinct characters576
Distinct categories17 ?
Distinct scripts8 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique291 ?
Unique (%)99.3%

Sample

1st rowContactez le SCRIE (http://www1.nyc.gov/site/finance/about/contact-by-email/contact-drie.page) Demandez une assistance (mailto:SCRIE@hpd.nyc.gov) au ministère des Finances.Envoyez un courriel au HPDPour toute question sur le SCRIE supervisé par le HPD, envoyez un courriel à l’adresse SCRIE@hpd.nyc.gov.
2nd rowالاتصال ببرنامج DRIE (http://www1.nyc.gov/site/finance/about/contact-by-email/contact-drie.page) اطلب المساعدة من إدارة الشؤون المالية.
3rd rowDRIE কে যোগাযোগ করুনঅর্থ বিভাগ এর (http://www1.nyc.gov/site/finance/about/contact-by-email/contact-drie.page) সহায়তার জন্য অনুরোধ করুন।
4th row與 DRIE 聯絡請求來自財政部的 (http://www1.nyc.gov/site/finance/about/contact-by-email/contact-drie.page) 協助。
5th rowContact DRIE (http://www1.nyc.gov/site/finance/about/contact-by-email/contact-drie.page) Ask for help from the Department of Finance.
ValueCountFrequency (%)
89
 
1.5%
nyc 79
 
1.4%
un 76
 
1.3%
a 60
 
1.0%
de 60
 
1.0%
email 51
 
0.9%
میل 46
 
0.8%
ای 46
 
0.8%
correo 45
 
0.8%
electrónico 40
 
0.7%
Other values (1747) 5163
89.7%
2023-12-09T20:32:18.718631image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5456
 
10.0%
e 2846
 
5.2%
o 2825
 
5.2%
n 2575
 
4.7%
a 2374
 
4.3%
t 2117
 
3.9%
c 1965
 
3.6%
i 1871
 
3.4%
l 1763
 
3.2%
s 1658
 
3.0%
Other values (566) 29125
53.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 33579
61.5%
Other Letter 6954
 
12.7%
Space Separator 5467
 
10.0%
Other Punctuation 3262
 
6.0%
Uppercase Letter 3258
 
6.0%
Open Punctuation 443
 
0.8%
Close Punctuation 442
 
0.8%
Spacing Mark 381
 
0.7%
Dash Punctuation 329
 
0.6%
Nonspacing Mark 250
 
0.5%
Other values (7) 210
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 513
 
7.4%
ل 455
 
6.5%
ر 338
 
4.9%
ی 246
 
3.5%
م 231
 
3.3%
و 218
 
3.1%
197
 
2.8%
ت 187
 
2.7%
ک 167
 
2.4%
ي 155
 
2.2%
Other values (392) 4247
61.1%
Lowercase Letter
ValueCountFrequency (%)
e 2846
 
8.5%
o 2825
 
8.4%
n 2575
 
7.7%
a 2374
 
7.1%
t 2117
 
6.3%
c 1965
 
5.9%
i 1871
 
5.6%
l 1763
 
5.3%
s 1658
 
4.9%
r 1426
 
4.2%
Other values (63) 12159
36.2%
Uppercase Letter
ValueCountFrequency (%)
C 481
14.8%
E 436
13.4%
S 322
 
9.9%
N 236
 
7.2%
Y 229
 
7.0%
H 184
 
5.6%
D 163
 
5.0%
P 134
 
4.1%
I 131
 
4.0%
M 102
 
3.1%
Other values (36) 840
25.8%
Other Punctuation
ValueCountFrequency (%)
. 1541
47.2%
@ 543
 
16.6%
/ 492
 
15.1%
: 391
 
12.0%
, 114
 
3.5%
\ 49
 
1.5%
۔ 27
 
0.8%
25
 
0.8%
23
 
0.7%
23
 
0.7%
Other values (5) 34
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 71
51.8%
3 32
23.4%
4 14
 
10.2%
8 12
 
8.8%
6 3
 
2.2%
7 2
 
1.5%
0 2
 
1.5%
2 1
 
0.7%
Nonspacing Mark
ValueCountFrequency (%)
146
58.4%
58
 
23.2%
25
 
10.0%
ً 15
 
6.0%
ُ 3
 
1.2%
ِ 2
 
0.8%
ّ 1
 
0.4%
Spacing Mark
ValueCountFrequency (%)
158
41.5%
126
33.1%
ি 64
16.8%
26
 
6.8%
4
 
1.0%
3
 
0.8%
Open Punctuation
ValueCountFrequency (%)
( 440
99.3%
1
 
0.2%
1
 
0.2%
1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 437
98.9%
4
 
0.9%
1
 
0.2%
Final Punctuation
ValueCountFrequency (%)
16
72.7%
4
 
18.2%
» 2
 
9.1%
Space Separator
ValueCountFrequency (%)
5456
99.8%
  11
 
0.2%
Initial Punctuation
ValueCountFrequency (%)
3
60.0%
« 2
40.0%
Dash Punctuation
ValueCountFrequency (%)
- 329
100.0%
Math Symbol
ValueCountFrequency (%)
+ 23
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Other Number
ValueCountFrequency (%)
2
100.0%
Format
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 33700
61.7%
Common 10124
 
18.6%
Arabic 4120
 
7.5%
Cyrillic 3137
 
5.7%
Bengali 1804
 
3.3%
Hangul 908
 
1.7%
Han 761
 
1.4%
Inherited 21
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
51
 
6.7%
50
 
6.6%
49
 
6.4%
48
 
6.3%
34
 
4.5%
24
 
3.2%
21
 
2.8%
20
 
2.6%
16
 
2.1%
16
 
2.1%
Other values (162) 432
56.8%
Hangul
ValueCountFrequency (%)
59
 
6.5%
50
 
5.5%
50
 
5.5%
42
 
4.6%
35
 
3.9%
32
 
3.5%
31
 
3.4%
28
 
3.1%
27
 
3.0%
27
 
3.0%
Other values (137) 527
58.0%
Latin
ValueCountFrequency (%)
e 2846
 
8.4%
o 2825
 
8.4%
n 2575
 
7.6%
a 2374
 
7.0%
t 2117
 
6.3%
c 1965
 
5.8%
i 1871
 
5.6%
l 1763
 
5.2%
s 1658
 
4.9%
r 1426
 
4.2%
Other values (57) 12280
36.4%
Cyrillic
ValueCountFrequency (%)
о 362
 
11.5%
е 266
 
8.5%
т 241
 
7.7%
а 211
 
6.7%
п 200
 
6.4%
н 197
 
6.3%
р 195
 
6.2%
и 185
 
5.9%
с 153
 
4.9%
л 133
 
4.2%
Other values (42) 994
31.7%
Arabic
ValueCountFrequency (%)
ا 513
 
12.5%
ل 455
 
11.0%
ر 338
 
8.2%
ی 246
 
6.0%
م 231
 
5.6%
و 218
 
5.3%
ت 187
 
4.5%
ک 167
 
4.1%
ي 155
 
3.8%
ب 148
 
3.6%
Other values (40) 1462
35.5%
Bengali
ValueCountFrequency (%)
197
 
10.9%
158
 
8.8%
146
 
8.1%
126
 
7.0%
125
 
6.9%
111
 
6.2%
75
 
4.2%
74
 
4.1%
67
 
3.7%
66
 
3.7%
Other values (34) 659
36.5%
Common
ValueCountFrequency (%)
5456
53.9%
. 1541
 
15.2%
@ 543
 
5.4%
/ 492
 
4.9%
( 440
 
4.3%
) 437
 
4.3%
: 391
 
3.9%
- 329
 
3.2%
, 114
 
1.1%
1 71
 
0.7%
Other values (30) 310
 
3.1%
Inherited
ValueCountFrequency (%)
ً 15
71.4%
ُ 3
 
14.3%
ِ 2
 
9.5%
ّ 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43244
79.2%
Arabic 4157
 
7.6%
Cyrillic 3137
 
5.7%
Bengali 1804
 
3.3%
Hangul 908
 
1.7%
CJK 761
 
1.4%
None 516
 
0.9%
Punctuation 25
 
< 0.1%
Devanagari 23
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5456
 
12.6%
e 2846
 
6.6%
o 2825
 
6.5%
n 2575
 
6.0%
a 2374
 
5.5%
t 2117
 
4.9%
c 1965
 
4.5%
i 1871
 
4.3%
l 1763
 
4.1%
s 1658
 
3.8%
Other values (62) 17794
41.1%
Arabic
ValueCountFrequency (%)
ا 513
 
12.3%
ل 455
 
10.9%
ر 338
 
8.1%
ی 246
 
5.9%
م 231
 
5.6%
و 218
 
5.2%
ت 187
 
4.5%
ک 167
 
4.0%
ي 155
 
3.7%
ب 148
 
3.6%
Other values (45) 1499
36.1%
Cyrillic
ValueCountFrequency (%)
о 362
 
11.5%
е 266
 
8.5%
т 241
 
7.7%
а 211
 
6.7%
п 200
 
6.4%
н 197
 
6.3%
р 195
 
6.2%
и 185
 
5.9%
с 153
 
4.9%
л 133
 
4.2%
Other values (42) 994
31.7%
Bengali
ValueCountFrequency (%)
197
 
10.9%
158
 
8.8%
146
 
8.1%
126
 
7.0%
125
 
6.9%
111
 
6.2%
75
 
4.2%
74
 
4.1%
67
 
3.7%
66
 
3.7%
Other values (34) 659
36.5%
None
ValueCountFrequency (%)
è 81
15.7%
ó 77
14.9%
ś 53
10.3%
í 45
8.7%
é 34
 
6.6%
à 32
 
6.2%
25
 
4.8%
ć 25
 
4.8%
23
 
4.5%
ł 20
 
3.9%
Other values (18) 101
19.6%
Hangul
ValueCountFrequency (%)
59
 
6.5%
50
 
5.5%
50
 
5.5%
42
 
4.6%
35
 
3.9%
32
 
3.5%
31
 
3.4%
28
 
3.1%
27
 
3.0%
27
 
3.0%
Other values (137) 527
58.0%
CJK
ValueCountFrequency (%)
51
 
6.7%
50
 
6.6%
49
 
6.4%
48
 
6.3%
34
 
4.5%
24
 
3.2%
21
 
2.8%
20
 
2.6%
16
 
2.1%
16
 
2.1%
Other values (162) 432
56.8%
Devanagari
ValueCountFrequency (%)
23
100.0%
Punctuation
ValueCountFrequency (%)
16
64.0%
4
 
16.0%
3
 
12.0%
1
 
4.0%
1
 
4.0%
Distinct550
Distinct (%)94.0%
Missing415
Missing (%)41.5%
Memory size192.9 KiB
2023-12-09T20:32:19.201053image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length481
Median length213
Mean length138.582906
Min length31

Characters and Unicode

Total characters81071
Distinct characters791
Distinct categories17 ?
Distinct scripts8 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique536 ?
Unique (%)91.6%

Sample

1st rowAppelez le SCRIE à l’aide du téléscripteurAppelez le 212 639 9675 si vous avez des problèmes d’audition.Appelez le HPDSi vous avez des questions concernant le SCRIE supervisé par le HPD, appelez le 212 863 8494 .
2nd rowابحث عن أحد مواقع VITA أو TCEاتصل بالرقم 9887-906-800 للعثور على أقرب مواقع لبرنامج المساعدة التطوعية لإعداد ضرائب الدخل (VITA) أو برنامج المشورة الضريبية لمقدمي الإقرارا الضريبي من كبار السن (TCE).
3rd rowএকটি VITA অথবা TCE কেন্দ্র খুঁজে নিননিকটতম স্বেচ্ছাসেবক আয়কর সহায়তা (Volunteer Income Tax Assistance, VITA) বা বয়স্কদের জন্য ট্যাক্স কাউন্সেলিং (Tax Counseling for the Elderly, TCE) খুঁজতে 800-906-9887 নম্বরে ফোন করুন।
4th row尋找 VITA 或 TCE 據點請撥打 800-906-9887 尋找最近的所得稅協助志工 (Volunteer Income Tax Assistance, VITA) 或長者報稅諮詢顧問 (Tax Counseling for the Elderly, TCE)。
5th rowFind a VITA or TCE location Call 800-906-9887 to find the nearest Volunteer Income Tax Assistance (VITA) or Tax Counseling for the Elderly (TCE).
ValueCountFrequency (%)
de 156
 
1.3%
la 106
 
0.9%
a 99
 
0.8%
کال 89
 
0.7%
vita 88
 
0.7%
dycd 87
 
0.7%
по 85
 
0.7%
le 74
 
0.6%
al 74
 
0.6%
کے 73
 
0.6%
Other values (3389) 10959
92.2%
2023-12-09T20:32:19.861174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11253
 
13.9%
e 3324
 
4.1%
a 2634
 
3.2%
n 2535
 
3.1%
o 2480
 
3.1%
- 1790
 
2.2%
i 1680
 
2.1%
l 1665
 
2.1%
r 1608
 
2.0%
t 1558
 
1.9%
Other values (781) 50544
62.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 34983
43.2%
Other Letter 14834
18.3%
Space Separator 11309
 
13.9%
Decimal Number 8719
 
10.8%
Uppercase Letter 5639
 
7.0%
Dash Punctuation 1813
 
2.2%
Other Punctuation 1542
 
1.9%
Spacing Mark 908
 
1.1%
Nonspacing Mark 544
 
0.7%
Open Punctuation 339
 
0.4%
Other values (7) 441
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 1245
 
8.4%
ل 968
 
6.5%
ر 572
 
3.9%
م 536
 
3.6%
ک 479
 
3.2%
442
 
3.0%
و 419
 
2.8%
406
 
2.7%
ی 397
 
2.7%
ت 369
 
2.5%
Other values (594) 9001
60.7%
Lowercase Letter
ValueCountFrequency (%)
e 3324
 
9.5%
a 2634
 
7.5%
n 2535
 
7.2%
o 2480
 
7.1%
i 1680
 
4.8%
l 1665
 
4.8%
r 1608
 
4.6%
t 1558
 
4.5%
s 1488
 
4.3%
u 1245
 
3.6%
Other values (68) 14766
42.2%
Uppercase Letter
ValueCountFrequency (%)
C 870
15.4%
A 506
 
9.0%
E 444
 
7.9%
T 392
 
7.0%
Y 387
 
6.9%
N 284
 
5.0%
D 280
 
5.0%
H 278
 
4.9%
S 274
 
4.9%
I 259
 
4.6%
Other values (35) 1665
29.5%
Other Punctuation
ValueCountFrequency (%)
. 541
35.1%
, 271
17.6%
: 193
 
12.5%
\ 158
 
10.2%
/ 86
 
5.6%
54
 
3.5%
54
 
3.5%
۔ 52
 
3.4%
39
 
2.5%
' 31
 
2.0%
Other values (6) 63
 
4.1%
Decimal Number
ValueCountFrequency (%)
6 1139
13.1%
8 1088
12.5%
0 1080
12.4%
7 960
11.0%
2 950
10.9%
3 785
9.0%
1 772
8.9%
9 713
8.2%
4 711
8.2%
5 521
6.0%
Nonspacing Mark
ValueCountFrequency (%)
350
64.3%
125
 
23.0%
41
 
7.5%
ً 13
 
2.4%
8
 
1.5%
5
 
0.9%
َ 1
 
0.2%
ّ 1
 
0.2%
Spacing Mark
ValueCountFrequency (%)
311
34.3%
301
33.1%
ি 146
16.1%
120
 
13.2%
16
 
1.8%
13
 
1.4%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 326
96.2%
10
 
2.9%
2
 
0.6%
1
 
0.3%
Space Separator
ValueCountFrequency (%)
11253
99.5%
  55
 
0.5%
  1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1790
98.7%
21
 
1.2%
2
 
0.1%
Final Punctuation
ValueCountFrequency (%)
63
90.0%
» 4
 
5.7%
3
 
4.3%
Math Symbol
ValueCountFrequency (%)
| 10
58.8%
~ 5
29.4%
+ 2
 
11.8%
Close Punctuation
ValueCountFrequency (%)
) 326
97.0%
10
 
3.0%
Initial Punctuation
ValueCountFrequency (%)
« 4
80.0%
1
 
20.0%
Modifier Letter
ValueCountFrequency (%)
ـ 8
100.0%
Format
ValueCountFrequency (%)
4
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 33996
41.9%
Common 24110
29.7%
Arabic 8795
 
10.8%
Cyrillic 6626
 
8.2%
Bengali 4204
 
5.2%
Hangul 1994
 
2.5%
Han 1331
 
1.6%
Inherited 15
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
82
 
6.2%
71
 
5.3%
45
 
3.4%
27
 
2.0%
26
 
2.0%
25
 
1.9%
25
 
1.9%
24
 
1.8%
23
 
1.7%
23
 
1.7%
Other values (284) 960
72.1%
Hangul
ValueCountFrequency (%)
88
 
4.4%
85
 
4.3%
71
 
3.6%
71
 
3.6%
69
 
3.5%
58
 
2.9%
57
 
2.9%
56
 
2.8%
51
 
2.6%
49
 
2.5%
Other values (216) 1339
67.2%
Latin
ValueCountFrequency (%)
e 3324
 
9.8%
a 2634
 
7.7%
n 2535
 
7.5%
o 2480
 
7.3%
i 1680
 
4.9%
l 1665
 
4.9%
r 1608
 
4.7%
t 1558
 
4.6%
s 1488
 
4.4%
u 1245
 
3.7%
Other values (65) 13779
40.5%
Bengali
ValueCountFrequency (%)
442
 
10.5%
406
 
9.7%
350
 
8.3%
341
 
8.1%
311
 
7.4%
301
 
7.2%
158
 
3.8%
154
 
3.7%
ি 146
 
3.5%
127
 
3.0%
Other values (40) 1468
34.9%
Arabic
ValueCountFrequency (%)
ا 1245
 
14.2%
ل 968
 
11.0%
ر 572
 
6.5%
م 536
 
6.1%
ک 479
 
5.4%
و 419
 
4.8%
ی 397
 
4.5%
ت 369
 
4.2%
ن 341
 
3.9%
ب 271
 
3.1%
Other values (38) 3198
36.4%
Cyrillic
ValueCountFrequency (%)
о 913
13.8%
и 533
 
8.0%
е 496
 
7.5%
н 492
 
7.4%
а 373
 
5.6%
т 356
 
5.4%
в 309
 
4.7%
р 304
 
4.6%
п 299
 
4.5%
л 299
 
4.5%
Other values (38) 2252
34.0%
Common
ValueCountFrequency (%)
11253
46.7%
- 1790
 
7.4%
6 1139
 
4.7%
8 1088
 
4.5%
0 1080
 
4.5%
7 960
 
4.0%
2 950
 
3.9%
3 785
 
3.3%
1 772
 
3.2%
9 713
 
3.0%
Other values (37) 3580
 
14.8%
Inherited
ValueCountFrequency (%)
ً 13
86.7%
َ 1
 
6.7%
ّ 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56998
70.3%
Arabic 8840
 
10.9%
Cyrillic 6626
 
8.2%
Bengali 4204
 
5.2%
Hangul 1994
 
2.5%
CJK 1331
 
1.6%
None 928
 
1.1%
Punctuation 96
 
0.1%
Devanagari 54
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11253
19.7%
e 3324
 
5.8%
a 2634
 
4.6%
n 2535
 
4.4%
o 2480
 
4.4%
- 1790
 
3.1%
i 1680
 
2.9%
l 1665
 
2.9%
r 1608
 
2.8%
t 1558
 
2.7%
Other values (68) 26471
46.4%
Arabic
ValueCountFrequency (%)
ا 1245
 
14.1%
ل 968
 
11.0%
ر 572
 
6.5%
م 536
 
6.1%
ک 479
 
5.4%
و 419
 
4.7%
ی 397
 
4.5%
ت 369
 
4.2%
ن 341
 
3.9%
ب 271
 
3.1%
Other values (43) 3243
36.7%
Cyrillic
ValueCountFrequency (%)
о 913
13.8%
и 533
 
8.0%
е 496
 
7.5%
н 492
 
7.4%
а 373
 
5.6%
т 356
 
5.4%
в 309
 
4.7%
р 304
 
4.6%
п 299
 
4.5%
л 299
 
4.5%
Other values (38) 2252
34.0%
Bengali
ValueCountFrequency (%)
442
 
10.5%
406
 
9.7%
350
 
8.3%
341
 
8.1%
311
 
7.4%
301
 
7.2%
158
 
3.8%
154
 
3.7%
ি 146
 
3.5%
127
 
3.0%
Other values (40) 1468
34.9%
None
ValueCountFrequency (%)
é 96
 
10.3%
è 83
 
8.9%
ó 81
 
8.7%
ń 81
 
8.7%
ę 71
 
7.7%
  55
 
5.9%
54
 
5.8%
ą 51
 
5.5%
ć 46
 
5.0%
ò 41
 
4.4%
Other values (24) 269
29.0%
Hangul
ValueCountFrequency (%)
88
 
4.4%
85
 
4.3%
71
 
3.6%
71
 
3.6%
69
 
3.5%
58
 
2.9%
57
 
2.9%
56
 
2.8%
51
 
2.6%
49
 
2.5%
Other values (216) 1339
67.2%
CJK
ValueCountFrequency (%)
82
 
6.2%
71
 
5.3%
45
 
3.4%
27
 
2.0%
26
 
2.0%
25
 
1.9%
25
 
1.9%
24
 
1.8%
23
 
1.7%
23
 
1.7%
Other values (284) 960
72.1%
Punctuation
ValueCountFrequency (%)
63
65.6%
21
 
21.9%
4
 
4.2%
3
 
3.1%
2
 
2.1%
2
 
2.1%
1
 
1.0%
Devanagari
ValueCountFrequency (%)
54
100.0%
Distinct532
Distinct (%)94.0%
Missing434
Missing (%)43.4%
Memory size124.9 KiB
2023-12-09T20:32:20.188960image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length244
Median length123
Mean length72.36042403
Min length15

Characters and Unicode

Total characters40956
Distinct characters664
Distinct categories15 ?
Distinct scripts8 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique521 ?
Unique (%)92.0%

Sample

1st rowAppelez le 311Demandez à parler à un spécialiste SCRIE specialists.
2nd rowاتصل بالرقم 311اطلب المساعدة في إعداد الضرائب.
3rd row311 নম্বরে ফোন করুনকর প্রস্তুতির ক্ষেত্রে সহায়তার জন্য বলুন।
4th row撥打 311洽詢報稅協助事宜。
5th rowAppelez le 311Demandez l’aide du service de préparation de déclaration de revenus.
ValueCountFrequency (%)
311 126
 
2.0%
de 74
 
1.2%
le 71
 
1.1%
по 60
 
0.9%
al 59
 
0.9%
pou 59
 
0.9%
پر 57
 
0.9%
pod 56
 
0.9%
for 56
 
0.9%
numer 54
 
0.8%
Other values (1977) 5701
89.5%
2023-12-09T20:32:20.682399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5800
 
14.2%
e 2102
 
5.1%
a 1554
 
3.8%
o 1289
 
3.1%
1 1212
 
3.0%
r 1123
 
2.7%
n 1095
 
2.7%
i 959
 
2.3%
l 864
 
2.1%
s 814
 
2.0%
Other values (654) 24144
59.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19665
48.0%
Other Letter 9079
22.2%
Space Separator 5808
 
14.2%
Uppercase Letter 2088
 
5.1%
Decimal Number 1918
 
4.7%
Other Punctuation 805
 
2.0%
Spacing Mark 595
 
1.5%
Nonspacing Mark 417
 
1.0%
Open Punctuation 178
 
0.4%
Close Punctuation 162
 
0.4%
Other values (5) 241
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ا 721
 
7.9%
ل 501
 
5.5%
ر 410
 
4.5%
م 330
 
3.6%
298
 
3.3%
ی 267
 
2.9%
ک 256
 
2.8%
254
 
2.8%
ن 204
 
2.2%
ب 201
 
2.2%
Other values (486) 5637
62.1%
Lowercase Letter
ValueCountFrequency (%)
e 2102
 
10.7%
a 1554
 
7.9%
o 1289
 
6.6%
r 1123
 
5.7%
n 1095
 
5.6%
i 959
 
4.9%
l 864
 
4.4%
s 814
 
4.1%
d 736
 
3.7%
p 717
 
3.6%
Other values (68) 8412
42.8%
Uppercase Letter
ValueCountFrequency (%)
P 244
 
11.7%
A 214
 
10.2%
S 185
 
8.9%
C 177
 
8.5%
E 149
 
7.1%
R 116
 
5.6%
L 108
 
5.2%
П 94
 
4.5%
N 89
 
4.3%
D 87
 
4.2%
Other values (32) 625
29.9%
Other Punctuation
ValueCountFrequency (%)
. 391
48.6%
" 145
 
18.0%
, 62
 
7.7%
45
 
5.6%
44
 
5.5%
۔ 41
 
5.1%
' 34
 
4.2%
، 12
 
1.5%
& 10
 
1.2%
10
 
1.2%
Other values (2) 11
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 1212
63.2%
3 625
32.6%
7 41
 
2.1%
8 34
 
1.8%
9 4
 
0.2%
5 1
 
0.1%
2 1
 
0.1%
Spacing Mark
ValueCountFrequency (%)
228
38.3%
174
29.2%
ি 105
17.6%
65
 
10.9%
12
 
2.0%
11
 
1.8%
Nonspacing Mark
ValueCountFrequency (%)
231
55.4%
128
30.7%
45
 
10.8%
7
 
1.7%
6
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 142
79.8%
16
 
9.0%
13
 
7.3%
7
 
3.9%
Close Punctuation
ValueCountFrequency (%)
) 142
87.7%
13
 
8.0%
7
 
4.3%
Final Punctuation
ValueCountFrequency (%)
37
42.5%
28
32.2%
» 22
25.3%
Space Separator
ValueCountFrequency (%)
5800
99.9%
  8
 
0.1%
Initial Punctuation
ValueCountFrequency (%)
« 22
51.2%
21
48.8%
Format
ValueCountFrequency (%)
2
50.0%
2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17776
43.4%
Common 9068
22.1%
Arabic 5144
 
12.6%
Cyrillic 3977
 
9.7%
Bengali 2839
 
6.9%
Hangul 1384
 
3.4%
Han 766
 
1.9%
Inherited 2
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
38
 
5.0%
38
 
5.0%
35
 
4.6%
34
 
4.4%
26
 
3.4%
26
 
3.4%
25
 
3.3%
17
 
2.2%
17
 
2.2%
17
 
2.2%
Other values (224) 493
64.4%
Hangul
ValueCountFrequency (%)
75
 
5.4%
64
 
4.6%
60
 
4.3%
59
 
4.3%
58
 
4.2%
55
 
4.0%
55
 
4.0%
46
 
3.3%
46
 
3.3%
45
 
3.3%
Other values (169) 821
59.3%
Latin
ValueCountFrequency (%)
e 2102
 
11.8%
a 1554
 
8.7%
o 1289
 
7.3%
r 1123
 
6.3%
n 1095
 
6.2%
i 959
 
5.4%
l 864
 
4.9%
s 814
 
4.6%
d 736
 
4.1%
p 717
 
4.0%
Other values (64) 6523
36.7%
Arabic
ValueCountFrequency (%)
ا 721
 
14.0%
ل 501
 
9.7%
ر 410
 
8.0%
م 330
 
6.4%
ی 267
 
5.2%
ک 256
 
5.0%
ن 204
 
4.0%
ب 201
 
3.9%
و 190
 
3.7%
ت 182
 
3.5%
Other values (38) 1882
36.6%
Bengali
ValueCountFrequency (%)
298
 
10.5%
254
 
8.9%
231
 
8.1%
228
 
8.0%
185
 
6.5%
174
 
6.1%
128
 
4.5%
ি 105
 
3.7%
105
 
3.7%
100
 
3.5%
Other values (38) 1031
36.3%
Cyrillic
ValueCountFrequency (%)
о 622
15.6%
е 384
 
9.7%
и 311
 
7.8%
н 266
 
6.7%
т 242
 
6.1%
р 207
 
5.2%
с 207
 
5.2%
а 194
 
4.9%
п 192
 
4.8%
в 173
 
4.4%
Other values (36) 1179
29.6%
Common
ValueCountFrequency (%)
5800
64.0%
1 1212
 
13.4%
3 625
 
6.9%
. 391
 
4.3%
" 145
 
1.6%
) 142
 
1.6%
( 142
 
1.6%
- 106
 
1.2%
, 62
 
0.7%
45
 
0.5%
Other values (24) 398
 
4.4%
Inherited
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26160
63.9%
Arabic 5156
 
12.6%
Cyrillic 3977
 
9.7%
Bengali 2839
 
6.9%
Hangul 1384
 
3.4%
CJK 766
 
1.9%
None 524
 
1.3%
Punctuation 106
 
0.3%
Devanagari 44
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5800
22.2%
e 2102
 
8.0%
a 1554
 
5.9%
o 1289
 
4.9%
1 1212
 
4.6%
r 1123
 
4.3%
n 1095
 
4.2%
i 959
 
3.7%
l 864
 
3.3%
s 814
 
3.1%
Other values (57) 9348
35.7%
Arabic
ValueCountFrequency (%)
ا 721
 
14.0%
ل 501
 
9.7%
ر 410
 
8.0%
م 330
 
6.4%
ی 267
 
5.2%
ک 256
 
5.0%
ن 204
 
4.0%
ب 201
 
3.9%
و 190
 
3.7%
ت 182
 
3.5%
Other values (39) 1894
36.7%
Cyrillic
ValueCountFrequency (%)
о 622
15.6%
е 384
 
9.7%
и 311
 
7.8%
н 266
 
6.7%
т 242
 
6.1%
р 207
 
5.2%
с 207
 
5.2%
а 194
 
4.9%
п 192
 
4.8%
в 173
 
4.4%
Other values (36) 1179
29.6%
Bengali
ValueCountFrequency (%)
298
 
10.5%
254
 
8.9%
231
 
8.1%
228
 
8.0%
185
 
6.5%
174
 
6.1%
128
 
4.5%
ি 105
 
3.7%
105
 
3.7%
100
 
3.5%
Other values (38) 1031
36.3%
Hangul
ValueCountFrequency (%)
75
 
5.4%
64
 
4.6%
60
 
4.3%
59
 
4.3%
58
 
4.2%
55
 
4.0%
55
 
4.0%
46
 
3.3%
46
 
3.3%
45
 
3.3%
Other values (169) 821
59.3%
None
ValueCountFrequency (%)
é 54
 
10.3%
ń 51
 
9.7%
è 47
 
9.0%
45
 
8.6%
ś 38
 
7.3%
ó 37
 
7.1%
ą 24
 
4.6%
ł 24
 
4.6%
ż 23
 
4.4%
» 22
 
4.2%
Other values (24) 159
30.3%
Devanagari
ValueCountFrequency (%)
44
100.0%
CJK
ValueCountFrequency (%)
38
 
5.0%
38
 
5.0%
35
 
4.6%
34
 
4.4%
26
 
3.4%
26
 
3.4%
25
 
3.3%
17
 
2.2%
17
 
2.2%
17
 
2.2%
Other values (224) 493
64.4%
Punctuation
ValueCountFrequency (%)
37
34.9%
28
26.4%
21
19.8%
16
15.1%
2
 
1.9%
2
 
1.9%
Distinct610
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Memory size78.2 KiB
2023-12-09T20:32:20.946514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23000
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique424 ?
Unique (%)42.4%

Sample

1st row2022-03-23T11:02:42.000
2nd row2022-03-23T11:01:55.000
3rd row2022-03-23T11:01:25.000
4th row2022-03-23T11:01:58.000
5th row2023-01-25T11:01:06.000
ValueCountFrequency (%)
2022-03-23t11:02:42.000 8
 
0.8%
2022-03-23t11:02:44.000 7
 
0.7%
2022-03-23t11:03:23.000 7
 
0.7%
2022-03-23t11:01:32.000 7
 
0.7%
2022-03-23t11:03:16.000 7
 
0.7%
2022-03-23t11:02:54.000 7
 
0.7%
2022-03-23t11:01:55.000 7
 
0.7%
2022-03-23t11:03:06.000 6
 
0.6%
2022-03-23t11:03:13.000 6
 
0.6%
2022-03-23t11:03:07.000 6
 
0.6%
Other values (600) 932
93.2%
2023-12-09T20:32:21.346385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6490
28.2%
2 4326
18.8%
1 2873
12.5%
- 2000
 
8.7%
: 2000
 
8.7%
3 1647
 
7.2%
T 1000
 
4.3%
. 1000
 
4.3%
4 459
 
2.0%
5 407
 
1.8%
Other values (4) 798
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17000
73.9%
Other Punctuation 3000
 
13.0%
Dash Punctuation 2000
 
8.7%
Uppercase Letter 1000
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6490
38.2%
2 4326
25.4%
1 2873
16.9%
3 1647
 
9.7%
4 459
 
2.7%
5 407
 
2.4%
6 232
 
1.4%
7 218
 
1.3%
8 185
 
1.1%
9 163
 
1.0%
Other Punctuation
ValueCountFrequency (%)
: 2000
66.7%
. 1000
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 2000
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22000
95.7%
Latin 1000
 
4.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6490
29.5%
2 4326
19.7%
1 2873
13.1%
- 2000
 
9.1%
: 2000
 
9.1%
3 1647
 
7.5%
. 1000
 
4.5%
4 459
 
2.1%
5 407
 
1.8%
6 232
 
1.1%
Other values (3) 566
 
2.6%
Latin
ValueCountFrequency (%)
T 1000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6490
28.2%
2 4326
18.8%
1 2873
12.5%
- 2000
 
8.7%
: 2000
 
8.7%
3 1647
 
7.2%
T 1000
 
4.3%
. 1000
 
4.3%
4 459
 
2.0%
5 407
 
1.8%
Other values (4) 798
 
3.5%